New release 0.9.8: added news and online help
diff --git a/websites/www.eclipse.org-app4mc-hugo/site/content/documentation/index.md b/websites/www.eclipse.org-app4mc-hugo/site/content/documentation/index.md
index 6320bbd..cb24362 100644
--- a/websites/www.eclipse.org-app4mc-hugo/site/content/documentation/index.md
+++ b/websites/www.eclipse.org-app4mc-hugo/site/content/documentation/index.md
@@ -1,6 +1,6 @@
---
title: "Documentation"
-date: 2020-05-01
+date: 2020-05-04
hide_sidebar: "false"
---
@@ -11,13 +11,14 @@
### Help
---
-<a href="/help/app4mc-0.9.7/index.html" target="_blank">APP4MC 0.9.7 - Online Help</a> (opens in new tab)
+<a href="/help/app4mc-0.9.8/index.html" target="_blank">APP4MC 0.9.8 - Online Help</a> (opens in new tab)
-[APP4MC 0.9.7 - Help](/help/app4mc-0.9.7-help.zip) (zip archive)
+[APP4MC 0.9.8 - Help](/help/app4mc-0.9.8-help.zip) (zip archive)
<br>
#### Previous versions (zip archive only):
+[0.9.7](/help/app4mc-0.9.7-help.zip) -
[0.9.6](/help/app4mc-0.9.6-help.zip) -
[0.9.5](/help/app4mc-0.9.5-help.zip) -
[0.9.4](/help/app4mc-0.9.4-help.zip) -
diff --git a/websites/www.eclipse.org-app4mc-hugo/site/content/news/2020-05-04_release_0-9-8.md b/websites/www.eclipse.org-app4mc-hugo/site/content/news/2020-05-04_release_0-9-8.md
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@@ -0,0 +1,29 @@
+---
+date: 2020-05-04
+title: "APP4MC - Release 0.9.8 published"
+categories: ["news"]
+slug: "2020-05-04-release-0-9-8"
+---
+
+We released a new version of APP4MC with a couple of new features and improvements.
+
+<!--more-->
+
+__Extract of APP4MC 0.9.8__
+
+
+Model handling
+
+ Model migration support (0.9.7 -> 0.9.8)
+
+
+Product
+
+ Eclipse target platform is updated to IDE 2019-12
+ New (extendable) visualization framework
+ Standard visualizations for runnables and deviations
+ Additional example models (Waters FMTV Challenges)
+ EMF model viewers are available as update site
+
+
+* Visit the [APP4MC download page](http://projects.eclipse.org/projects/technology.app4mc/downloads)
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similarity index 92%
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@@ -12,7 +12,7 @@
<head>
<meta charset="UTF-8">
- <title>APP4MC 0.9.7 Documentation</title>
+ <title>APP4MC 0.9.8 Documentation</title>
<link rel="stylesheet" href="css/help.css" type="text/css">
<link rel="stylesheet" href="css/frames.css" type="text/css">
<link rel="stylesheet" href="css/toc-style.css" type="text/css">
@@ -25,7 +25,7 @@
<!-- - - - - - - - - Table of contents - - - - - - - - -->
-<div class="toc-tree">
+ <div class="toc-tree">
<ul>
<li><label class="leaf"><a href="#section1">Introduction to APP4MC</a></label></li>
<li><input type="checkbox" id="toc2" /><label for="toc2"><a href="#section2">User Guide</a></label>
@@ -85,6 +85,16 @@
<ul>
<li><label class="leaf"><a href="#section2.2.5.1">Grouping of elements (Tags, Tag groups)</a></label></li>
<li><label class="leaf"><a href="#section2.2.5.2">Custom Properties</a></label></li>
+<li><input type="checkbox" id="toc2.2.5.3" /><label for="toc2.2.5.3"><a href="#section2.2.5.3">Support of Packages </a></label>
+<ul>
+<li><label class="leaf"><a href="#section2.2.5.3.1">Example of using Package</a></label></li>
+</ul>
+</li>
+<li><input type="checkbox" id="toc2.2.5.4" /><label for="toc2.2.5.4"><a href="#section2.2.5.4">Support of Namespaces </a></label>
+<ul>
+<li><label class="leaf"><a href="#section2.2.5.4.1">Example of using Namespace</a></label></li>
+</ul>
+</li>
</ul>
</li>
<li><input type="checkbox" id="toc2.2.6" /><label for="toc2.2.6"><a href="#section2.2.6">Scheduling</a></label>
@@ -217,41 +227,54 @@
</li>
</ul>
</li>
-<li><input type="checkbox" id="toc2.6" /><label for="toc2.6"><a href="#section2.6">Model Validation</a></label>
+<li><input type="checkbox" id="toc2.6" /><label for="toc2.6"><a href="#section2.6">Model Visualization</a></label>
<ul>
-<li><label class="leaf"><a href="#section2.6.1">Usage of AMALTHEA Model Validation</a></label></li>
+<li><label class="leaf"><a href="#section2.6.1">Usage of AMALTHEA Model Visualization</a></label></li>
+<li><input type="checkbox" id="toc2.6.2" /><label for="toc2.6.2"><a href="#section2.6.2">Standard Visualizations</a></label>
+<ul>
+<li><label class="leaf"><a href="#section2.6.2.1">Hardware Model</a></label></li>
+<li><label class="leaf"><a href="#section2.6.2.2">Software Model</a></label></li>
+<li><label class="leaf"><a href="#section2.6.2.3">Runnable</a></label></li>
+<li><label class="leaf"><a href="#section2.6.2.4">Deviation</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc2.7" /><label for="toc2.7"><a href="#section2.7">Model Migration</a></label>
-<ul>
-<li><input type="checkbox" id="toc2.7.1" /><label for="toc2.7.1"><a href="#section2.7.1">AMALTHEA Model Migration</a></label>
-<ul>
-<li><label class="leaf"><a href="#section2.7.1.1">Why model migration is required ?</a></label></li>
-<li><label class="leaf"><a href="#section2.7.1.2">AMALTHEA model migration</a></label></li>
</ul>
</li>
-<li><label class="leaf"><a href="#section2.7.2">Supported versions for model Migration</a></label></li>
-<li><input type="checkbox" id="toc2.7.3" /><label for="toc2.7.3"><a href="#section2.7.3">Pre-requisites for AMALTHEA model migration</a></label>
+<li><input type="checkbox" id="toc2.7" /><label for="toc2.7"><a href="#section2.7">Model Validation</a></label>
<ul>
-<li><label class="leaf"><a href="#section2.7.3.1">VM arguments</a></label></li>
-<li><label class="leaf"><a href="#section2.7.3.2">Linked files in eclipse project (virtual files)</a></label></li>
+<li><label class="leaf"><a href="#section2.7.1">Usage of AMALTHEA Model Validation</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc2.7.4" /><label for="toc2.7.4"><a href="#section2.7.4">How to invoke AMALTHEA model migration</a></label>
+<li><input type="checkbox" id="toc2.8" /><label for="toc2.8"><a href="#section2.8">Model Migration</a></label>
<ul>
-<li><label class="leaf"><a href="#section2.7.4.1">Simple migration</a></label></li>
-<li><label class="leaf"><a href="#section2.7.4.2">Migration dialog</a></label></li>
+<li><input type="checkbox" id="toc2.8.1" /><label for="toc2.8.1"><a href="#section2.8.1">AMALTHEA Model Migration</a></label>
+<ul>
+<li><label class="leaf"><a href="#section2.8.1.1">Why model migration is required ?</a></label></li>
+<li><label class="leaf"><a href="#section2.8.1.2">AMALTHEA model migration</a></label></li>
</ul>
</li>
-<li><label class="leaf"><a href="#section2.7.5">Additional details</a></label></li>
+<li><label class="leaf"><a href="#section2.8.2">Supported versions for model Migration</a></label></li>
+<li><input type="checkbox" id="toc2.8.3" /><label for="toc2.8.3"><a href="#section2.8.3">Pre-requisites for AMALTHEA model migration</a></label>
+<ul>
+<li><label class="leaf"><a href="#section2.8.3.1">VM arguments</a></label></li>
+<li><label class="leaf"><a href="#section2.8.3.2">Linked files in eclipse project (virtual files)</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc2.8" /><label for="toc2.8"><a href="#section2.8">Model Loading (Amalthea "no-load" nature)</a></label>
+<li><input type="checkbox" id="toc2.8.4" /><label for="toc2.8.4"><a href="#section2.8.4">How to invoke AMALTHEA model migration</a></label>
<ul>
-<li><label class="leaf"><a href="#section2.8.1">How to add Amalthea "no-load" nature to the project ?</a></label></li>
-<li><label class="leaf"><a href="#section2.8.2">How to identify if Amalthea "no-load" nature is added to the project ?</a></label></li>
-<li><label class="leaf"><a href="#section2.8.3">If Amalthea "no-load" nature is added, can I still load Amalthea model files using a java program explicitly ?</a></label></li>
-<li><label class="leaf"><a href="#section2.8.4">How to remove Amalthea "no-load" nature from the project ?</a></label></li>
+<li><label class="leaf"><a href="#section2.8.4.1">Simple migration</a></label></li>
+<li><label class="leaf"><a href="#section2.8.4.2">Migration dialog</a></label></li>
+</ul>
+</li>
+<li><label class="leaf"><a href="#section2.8.5">Additional details</a></label></li>
+</ul>
+</li>
+<li><input type="checkbox" id="toc2.9" /><label for="toc2.9"><a href="#section2.9">Model Loading (Amalthea "no-load" nature)</a></label>
+<ul>
+<li><label class="leaf"><a href="#section2.9.1">How to add Amalthea "no-load" nature to the project?*</a></label></li>
+<li><label class="leaf"><a href="#section2.9.2">How to identify if Amalthea "no-load" nature is added to the project?*</a></label></li>
+<li><label class="leaf"><a href="#section2.9.3">If Amalthea "no-load" nature is added, can I still load Amalthea model files using a java program explicitly?*</a></label></li>
+<li><label class="leaf"><a href="#section2.9.4">How to remove Amalthea "no-load" nature from the project?*</a></label></li>
</ul>
</li>
</ul>
@@ -560,114 +583,121 @@
<li><label class="leaf"><a href="#section4.1.2">Plug-ins</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc4.2" /><label for="toc4.2"><a href="#section4.2">Model Validation</a></label>
+<li><input type="checkbox" id="toc4.2" /><label for="toc4.2"><a href="#section4.2">Model Visualization</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.2.1">Validation framework</a></label></li>
-<li><label class="leaf"><a href="#section4.2.2">Validations</a></label></li>
-<li><label class="leaf"><a href="#section4.2.3">Profiles</a></label></li>
+<li><label class="leaf"><a href="#section4.2.1">Visualization framework</a></label></li>
+<li><label class="leaf"><a href="#section4.2.2">Contributing a new model visualization</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc4.3" /><label for="toc4.3"><a href="#section4.3">Model Workflow</a></label>
+<li><input type="checkbox" id="toc4.3" /><label for="toc4.3"><a href="#section4.3">Model Validation</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.3.1">Introduction</a></label></li>
-<li><label class="leaf"><a href="#section4.3.2">General Structure</a></label></li>
-<li><input type="checkbox" id="toc4.3.3" /><label for="toc4.3.3"><a href="#section4.3.3">Available Basic Components</a></label>
-<ul>
-<li><label class="leaf"><a href="#section4.3.3.1">Model Reader</a></label></li>
-<li><label class="leaf"><a href="#section4.3.3.2">Model Writer</a></label></li>
-<li><label class="leaf"><a href="#section4.3.3.3">Add Schedule Points</a></label></li>
+<li><label class="leaf"><a href="#section4.3.1">Validation framework</a></label></li>
+<li><label class="leaf"><a href="#section4.3.2">Validations</a></label></li>
+<li><label class="leaf"><a href="#section4.3.3">Profiles</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc4.3.4" /><label for="toc4.3.4"><a href="#section4.3.4">EASE modules</a></label>
+<li><input type="checkbox" id="toc4.4" /><label for="toc4.4"><a href="#section4.4">Model Workflow</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.3.4.1">Workflow Module</a></label></li>
+<li><label class="leaf"><a href="#section4.4.1">Introduction</a></label></li>
+<li><label class="leaf"><a href="#section4.4.2">General Structure</a></label></li>
+<li><input type="checkbox" id="toc4.4.3" /><label for="toc4.4.3"><a href="#section4.4.3">Available Basic Components</a></label>
+<ul>
+<li><label class="leaf"><a href="#section4.4.3.1">Model Reader</a></label></li>
+<li><label class="leaf"><a href="#section4.4.3.2">Model Writer</a></label></li>
+<li><label class="leaf"><a href="#section4.4.3.3">Add Schedule Points</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc4.3.5" /><label for="toc4.3.5"><a href="#section4.3.5">MWE2 Workflow</a></label>
+<li><input type="checkbox" id="toc4.4.4" /><label for="toc4.4.4"><a href="#section4.4.4">EASE modules</a></label>
<ul>
-<li><input type="checkbox" id="toc4.3.5.1" /><label for="toc4.3.5.1"><a href="#section4.3.5.1">MWE2 Components</a></label>
+<li><label class="leaf"><a href="#section4.4.4.1">Workflow Module</a></label></li>
+</ul>
+</li>
+<li><input type="checkbox" id="toc4.4.5" /><label for="toc4.4.5"><a href="#section4.4.5">MWE2 Workflow</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.3.5.1.1">Reader</a></label></li>
-<li><label class="leaf"><a href="#section4.3.5.1.2">Writer</a></label></li>
-<li><label class="leaf"><a href="#section4.3.5.1.3">Add Schedule Points</a></label></li>
+<li><input type="checkbox" id="toc4.4.5.1" /><label for="toc4.4.5.1"><a href="#section4.4.5.1">MWE2 Components</a></label>
+<ul>
+<li><label class="leaf"><a href="#section4.4.5.1.1">Reader</a></label></li>
+<li><label class="leaf"><a href="#section4.4.5.1.2">Writer</a></label></li>
+<li><label class="leaf"><a href="#section4.4.5.1.3">Add Schedule Points</a></label></li>
</ul>
</li>
</ul>
</li>
-<li><label class="leaf"><a href="#section4.3.6">Current Limitations / Open Points</a></label></li>
-<li><label class="leaf"><a href="#section4.3.7">Adding a new workflow component</a></label></li>
-<li><input type="checkbox" id="toc4.3.8" /><label for="toc4.3.8"><a href="#section4.3.8">Create project</a></label>
+<li><label class="leaf"><a href="#section4.4.6">Current Limitations / Open Points</a></label></li>
+<li><label class="leaf"><a href="#section4.4.7">Adding a new workflow component</a></label></li>
+<li><input type="checkbox" id="toc4.4.8" /><label for="toc4.4.8"><a href="#section4.4.8">Create project</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.3.8.1">Execute the new component in the available sample</a></label></li>
+<li><label class="leaf"><a href="#section4.4.8.1">Execute the new component in the available sample</a></label></li>
</ul>
</li>
</ul>
</li>
-<li><input type="checkbox" id="toc4.4" /><label for="toc4.4"><a href="#section4.4">Model Migration</a></label>
+<li><input type="checkbox" id="toc4.5" /><label for="toc4.5"><a href="#section4.5">Model Migration</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.4.1">Technologies used</a></label></li>
-<li><label class="leaf"><a href="#section4.4.2">Framework for model migration</a></label></li>
-<li><input type="checkbox" id="toc4.4.3" /><label for="toc4.4.3"><a href="#section4.4.3">Components of Model Migration Framework</a></label>
+<li><label class="leaf"><a href="#section4.5.1">Technologies used</a></label></li>
+<li><label class="leaf"><a href="#section4.5.2">Framework for model migration</a></label></li>
+<li><input type="checkbox" id="toc4.5.3" /><label for="toc4.5.3"><a href="#section4.5.3">Components of Model Migration Framework</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.4.3.1">Model migration sequence</a></label></li>
+<li><label class="leaf"><a href="#section4.5.3.1">Model migration sequence</a></label></li>
</ul>
</li>
-<li><label class="leaf"><a href="#section4.4.4">How to add custom Model Migration components</a></label></li>
-<li><input type="checkbox" id="toc4.4.5" /><label for="toc4.4.5"><a href="#section4.4.5">AMALTHEA meta model changes</a></label>
+<li><label class="leaf"><a href="#section4.5.4">How to add custom Model Migration components</a></label></li>
+<li><input type="checkbox" id="toc4.5.5" /><label for="toc4.5.5"><a href="#section4.5.5">AMALTHEA meta model changes</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.4.5.1">Version APP4MC 0.7.0 to App4MC 0.7.1</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.2">Version APP4MC 0.7.1 to APP4MC 0.7.2</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.3">Version APP4MC 0.7.2 to APP4MC 0.8.0</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.4">Version APP4MC 0.8.0 to APP4MC 0.8.1</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.5">Version APP4MC 0.8.1 to APP4MC 0.8.2</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.6">Version APP4MC 0.8.2 to APP4MC 0.8.3</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.7">Version APP4MC 0.8.3 to APP4MC 0.9.0</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.8">Version APP4MC 0.9.0 to APP4MC 0.9.1</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.9">Version APP4MC 0.9.1 to APP4MC 0.9.2</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.10">Version APP4MC 0.9.2 to APP4MC 0.9.3</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.11">Version APP4MC 0.9.3 to APP4MC 0.9.4</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.12">Version APP4MC 0.9.4 to APP4MC 0.9.5</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.13">Version APP4MC 0.9.5 to APP4MC 0.9.6</a></label></li>
-<li><label class="leaf"><a href="#section4.4.5.14">Version APP4MC 0.9.6 to APP4MC 0.9.7</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.1">Version APP4MC 0.7.0 to App4MC 0.7.1</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.2">Version APP4MC 0.7.1 to APP4MC 0.7.2</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.3">Version APP4MC 0.7.2 to APP4MC 0.8.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.4">Version APP4MC 0.8.0 to APP4MC 0.8.1</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.5">Version APP4MC 0.8.1 to APP4MC 0.8.2</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.6">Version APP4MC 0.8.2 to APP4MC 0.8.3</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.7">Version APP4MC 0.8.3 to APP4MC 0.9.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.8">Version APP4MC 0.9.0 to APP4MC 0.9.1</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.9">Version APP4MC 0.9.1 to APP4MC 0.9.2</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.10">Version APP4MC 0.9.2 to APP4MC 0.9.3</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.11">Version APP4MC 0.9.3 to APP4MC 0.9.4</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.12">Version APP4MC 0.9.4 to APP4MC 0.9.5</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.13">Version APP4MC 0.9.5 to APP4MC 0.9.6</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.14">Version APP4MC 0.9.6 to APP4MC 0.9.7</a></label></li>
+<li><label class="leaf"><a href="#section4.5.5.15">Version APP4MC 0.9.7 to APP4MC 0.9.8</a></label></li>
</ul>
</li>
</ul>
</li>
-<li><label class="leaf"><a href="#section4.5">Model Utilities</a></label></li>
-<li><input type="checkbox" id="toc4.6" /><label for="toc4.6"><a href="#section4.6">Model Details</a></label>
+<li><label class="leaf"><a href="#section4.6">Model Utilities</a></label></li>
+<li><input type="checkbox" id="toc4.7" /><label for="toc4.7"><a href="#section4.7">Model Details</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.6.1">Qualified name</a></label></li>
-<li><label class="leaf"><a href="#section4.6.2">Unique ID generation</a></label></li>
-<li><label class="leaf"><a href="#section4.6.3">Interfaces and base objects</a></label></li>
-<li><label class="leaf"><a href="#section4.6.4">Derived references</a></label></li>
-<li><input type="checkbox" id="toc4.6.5" /><label for="toc4.6.5"><a href="#section4.6.5">Transient back pointers</a></label>
+<li><label class="leaf"><a href="#section4.7.1">Qualified name</a></label></li>
+<li><label class="leaf"><a href="#section4.7.2">Unique ID generation</a></label></li>
+<li><label class="leaf"><a href="#section4.7.3">Interfaces and base objects</a></label></li>
+<li><label class="leaf"><a href="#section4.7.4">Derived references</a></label></li>
+<li><input type="checkbox" id="toc4.7.5" /><label for="toc4.7.5"><a href="#section4.7.5">Transient back pointers</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.6.5.1">Container references</a></label></li>
-<li><label class="leaf"><a href="#section4.6.5.2">References (via inverse index)</a></label></li>
-<li><label class="leaf"><a href="#section4.6.5.3">Implementation</a></label></li>
-<li><label class="leaf"><a href="#section4.6.5.4">User Interface</a></label></li>
+<li><label class="leaf"><a href="#section4.7.5.1">Container references</a></label></li>
+<li><label class="leaf"><a href="#section4.7.5.2">References (via inverse index)</a></label></li>
+<li><label class="leaf"><a href="#section4.7.5.3">Implementation</a></label></li>
+<li><label class="leaf"><a href="#section4.7.5.4">User Interface</a></label></li>
</ul>
</li>
</ul>
</li>
-<li><input type="checkbox" id="toc4.7" /><label for="toc4.7"><a href="#section4.7">AMALTHEA Model Definition</a></label>
+<li><input type="checkbox" id="toc4.8" /><label for="toc4.8"><a href="#section4.8">AMALTHEA Model Definition</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.7.1">Ecore</a></label></li>
-<li><label class="leaf"><a href="#section4.7.2">XML Schema Definition (XSD)</a></label></li>
+<li><label class="leaf"><a href="#section4.8.1">Ecore</a></label></li>
+<li><label class="leaf"><a href="#section4.8.2">XML Schema Definition (XSD)</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc4.8" /><label for="toc4.8"><a href="#section4.8">AMALTHEA Trace Database</a></label>
+<li><input type="checkbox" id="toc4.9" /><label for="toc4.9"><a href="#section4.9">AMALTHEA Trace Database</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.8.1">General information</a></label></li>
-<li><input type="checkbox" id="toc4.8.2" /><label for="toc4.8.2"><a href="#section4.8.2">Database structure</a></label>
+<li><label class="leaf"><a href="#section4.9.1">General information</a></label></li>
+<li><input type="checkbox" id="toc4.9.2" /><label for="toc4.9.2"><a href="#section4.9.2">Database structure</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.8.2.1">MetaInformation</a></label></li>
-<li><label class="leaf"><a href="#section4.8.2.2">Entity</a></label></li>
-<li><label class="leaf"><a href="#section4.8.2.3">EntityType</a></label></li>
-<li><label class="leaf"><a href="#section4.8.2.4">EventType</a></label></li>
-<li><label class="leaf"><a href="#section4.8.2.5">EntitySource</a></label></li>
-<li><label class="leaf"><a href="#section4.8.2.6">EntityInstance</a></label></li>
-<li><label class="leaf"><a href="#section4.8.2.7">EventTables</a></label></li>
+<li><label class="leaf"><a href="#section4.9.2.1">MetaInformation</a></label></li>
+<li><label class="leaf"><a href="#section4.9.2.2">Entity</a></label></li>
+<li><label class="leaf"><a href="#section4.9.2.3">EntityType</a></label></li>
+<li><label class="leaf"><a href="#section4.9.2.4">EventType</a></label></li>
+<li><label class="leaf"><a href="#section4.9.2.5">EntitySource</a></label></li>
+<li><label class="leaf"><a href="#section4.9.2.6">EntityInstance</a></label></li>
+<li><label class="leaf"><a href="#section4.9.2.7">EventTables</a></label></li>
</ul>
</li>
</ul>
@@ -676,26 +706,27 @@
</li>
<li><input type="checkbox" id="toc5" /><label for="toc5"><a href="#section5">Release Notes</a></label>
<ul>
-<li><label class="leaf"><a href="#section5.1">Eclipse APP4MC 0.9.7 (Jan 2020)</a></label></li>
-<li><label class="leaf"><a href="#section5.2">Eclipse APP4MC 0.9.6 (Oct 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.3">Eclipse APP4MC 0.9.5 (Jul 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.4">Eclipse APP4MC 0.9.4 (Apr 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.5">Eclipse APP4MC 0.9.3 (Jan 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.6">Eclipse APP4MC 0.9.2 (Oct 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.7">Eclipse APP4MC 0.9.1 (Jul 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.8">Eclipse APP4MC 0.9.0 (Apr 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.9">Eclipse APP4MC 0.8.3 (Jan 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.10">Eclipse APP4MC 0.8.2 (Oct 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.11">Eclipse APP4MC 0.8.1 (Jul 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.12">Eclipse APP4MC 0.8.0 (Apr 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.13">Eclipse APP4MC 0.7.2 (Jan 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.14">Eclipse APP4MC 0.7.1 (Oct 2016)</a></label></li>
-<li><label class="leaf"><a href="#section5.15">Eclipse APP4MC 0.7.0 (Jul 2016)</a></label></li>
+<li><label class="leaf"><a href="#section5.1">Eclipse APP4MC 0.9.8 (Apr 2020)</a></label></li>
+<li><label class="leaf"><a href="#section5.2">Eclipse APP4MC 0.9.7 (Jan 2020)</a></label></li>
+<li><label class="leaf"><a href="#section5.3">Eclipse APP4MC 0.9.6 (Oct 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.4">Eclipse APP4MC 0.9.5 (Jul 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.5">Eclipse APP4MC 0.9.4 (Apr 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.6">Eclipse APP4MC 0.9.3 (Jan 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.7">Eclipse APP4MC 0.9.2 (Oct 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.8">Eclipse APP4MC 0.9.1 (Jul 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.9">Eclipse APP4MC 0.9.0 (Apr 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.10">Eclipse APP4MC 0.8.3 (Jan 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.11">Eclipse APP4MC 0.8.2 (Oct 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.12">Eclipse APP4MC 0.8.1 (Jul 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.13">Eclipse APP4MC 0.8.0 (Apr 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.14">Eclipse APP4MC 0.7.2 (Jan 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.15">Eclipse APP4MC 0.7.1 (Oct 2016)</a></label></li>
+<li><label class="leaf"><a href="#section5.16">Eclipse APP4MC 0.7.0 (Jul 2016)</a></label></li>
</ul>
</li>
<li><label class="leaf"><a href="#section6">Roadmap</a></label></li>
</ul>
-</div>
+ </div>
<!-- - - - - - - - - Table of contents - - - - - - - - -->
@@ -710,7 +741,7 @@
<article>
<h1><a id="section1">1 </a>Introduction to APP4MC</h1>
<p>
- <img src="images/app4mc-logo-g.png"/>
+ <img src="images/app4mc-logo-g.png" />
</p>
<p>The goal of the project is the development of a consistent, open, expandable tool platform for embedded software engineering. It is based on the model driven approach as basic engineering methodology. The main focus is the optimization of embedded multi-core systems.</p>
<p>Most functions in a modern car are controlled by embedded systems. Also more and more driver assistance functions are introduced. This implies a continuous increase of computing power accompanied by the request for reduction of energy and costs. To handle these requirements the multi-core technology permeates the control units in cars. This is today one of the biggest challenges for automotive systems. Existing applications can not realize immediate benefit from these multi-core ECUs because they are not designed to run on such architectures. In addition applications and systems have to be migrated into AUTOSAR compatible architectures. Both trends imply the necessity for new development environments which cater for these requirements.</p>
@@ -737,7 +768,7 @@
</ul>
<p>The following screenshot is showing this perspective and its contained elements.</p>
<p>
- <img src="images/user_guide_editor_structure.png"/>
+ <img src="images/user_guide_editor_structure.png" />
</p>
@@ -751,7 +782,7 @@
<br> Therefore a project is required.
</p>
<p>
- <img src="images/user_guide_step1_create-project.png"/>
+ <img src="images/user_guide_step1_create-project.png" />
</p>
</blockquote>
<p>
@@ -762,7 +793,7 @@
<i>although a project is also a possible container</i> ).
</p>
<p>
- <img src="images/user_guide_step2_create-folder.png"/>
+ <img src="images/user_guide_step2_create-folder.png" />
</p>
</blockquote>
<p>
@@ -771,7 +802,7 @@
<blockquote>
<p>In the context menu (right mouse button) an entry for a new AMALTHEA model can be found.</p>
<p>
- <img src="images/user_guide_step3_create-model.png"/>
+ <img src="images/user_guide_step3_create-model.png" />
</p>
<p> Another starting point is
<i>File</i> ->
@@ -787,33 +818,33 @@
<br>The next screenshot shows the "New Child" menu with all its possibilities.
</p>
<p>
- <img class="gray" src="images/user_editor_with_central_model.png"/>
+ <img class="gray" src="images/user_editor_with_central_model.png" />
</p>
<p>In addition the AMALTHEA Editor has two commands available at the top right of the Editor.</p>
<p>
- <img class="gray" src="images/user_guide_editor_commands.png"/>
+ <img class="gray" src="images/user_guide_editor_commands.png" />
</p>
<h4><a id="section2.1.2.1"></a>Show types of model elements</h4>
<p>The Show types of elements button triggers the editor to show the direct type of the element in the tree editor using [element_type]. The following screenshot shows the toggle and the types marked with an underline.</p>
<p>
- <img class="gray" src="images/user_guide_editor_showtypes.png"/>
+ <img class="gray" src="images/user_guide_editor_showtypes.png" />
</p>
<h4><a id="section2.1.2.2"></a>Search for model elements</h4>
<p>The editor provides the possibility to filter model elements by using the available name attribute. For example this can be used to find all elements in the model with "ABS" at the beginning of their name. The search and result view is using the Eclipse search as result view.</p>
<p>
- <img class="gray" src="images/user_guide_editor_search_input.png"/>
+ <img class="gray" src="images/user_guide_editor_search_input.png" />
</p>
<p>The search result is using the Eclipse Search View.</p>
<p>
- <img class="gray" src="images/user_guide_editor_search_result1.png"/>
+ <img class="gray" src="images/user_guide_editor_search_result1.png" />
</p>
<p>An additional option is to toggle the search results to show them as a plain list instead of a tree grouped by type.</p>
<p>
- <img class="gray" src="images/user_guide_editor_search_result2.png"/>
+ <img class="gray" src="images/user_guide_editor_search_result2.png" />
</p>
@@ -825,7 +856,7 @@
<blockquote>
<p>Click the "new" icon in the top left corner and select "Example..." or use the right mouse button.</p>
<p>
- <img src="images/01-create-new-example.png"/>
+ <img src="images/01-create-new-example.png" />
</p>
</blockquote>
<p>
@@ -836,7 +867,7 @@
<br> Select one examples and hit continue.
</p>
<p>
- <img src="images/02-select-democar-example.png"/>
+ <img src="images/02-select-democar-example.png" />
</p>
</blockquote>
<p>
@@ -847,7 +878,7 @@
<br> Click "Finish" to exit this dialog.
</p>
<p>
- <img src="images/03_democar-example-finish.png"/>
+ <img src="images/03_democar-example-finish.png" />
</p>
<p> You can now open the editor to inspect the models.</p>
</blockquote>
@@ -880,14 +911,14 @@
</li>
</ul>
<p>Tasks may call runnables in a activity graph. Note that a runnable can be called by several tasks. We then map tasks to task schedulers in the operating system model, and we map every task scheduler to one or more processing units of the hardware model. Further, we map data elements to memories of the hardware model.</p>
- <p>This coarse level of hardware model detail-the hardware model consists only of
- <strong>mapping targets</strong>, without routing or timing for data accesses-may already be sufficient for analysis focusing on event-chains or scheduling.
+ <p>This coarse level of hardware model detail – the hardware model consists only of
+ <strong>mapping targets</strong>, without routing or timing for data accesses – may already be sufficient for analysis focusing on event-chains or scheduling.
</p>
<p>As the second example of model detail, we now add access elements to all processing units of the hardware model,
- <strong>modeling data access latencies or data rates</strong> when accessing data in memories-still ignoring routing and contention. This level of detail is sufficient, for example, for optimizing data placement in microcontrollers using static timing analysis.
+ <strong>modeling data access latencies or data rates</strong> when accessing data in memories – still ignoring routing and contention. This level of detail is sufficient, for example, for optimizing data placement in microcontrollers using static timing analysis.
</p>
<p>A more detailed hardware model, our third and last example of model detail, will contain information about
- <strong>data routing and congestion handling</strong>. Therefore, we add connection handlers to the hardware model for every possible contention point, we add ports to the hardware elements, and we add connections between ports. For every access element of the processing units, we add an access path, modeling the access route over different connections and connectionHandlers. the combination of all access elements are able to represent the full address space of a processing unit. This level of detail is well suited for dynamic timing simulation considering arbitration effects for data accesses.
+ <strong>data routing and congestion handling</strong>. Therefore, we add connection handlers to the hardware model for every possible contention point, we add ports to the hardware elements, and we add connections between ports. For every access element of the processing units, we add an access path, modeling the access route over different connections and connectionHandlers. The combination of all access elements are able to represent the full address space of a processing unit. This level of detail is well suited for dynamic timing simulation considering arbitration effects for data accesses.
</p>
<p>In the following, we discuss 'timing' of Amalthea in context of level of detail of the last example and discrete-event simulation.</p>
@@ -953,25 +984,25 @@
</p>
<p>Consider a hardware model consisting of two processing units, a connection handler, and a single memory. We add a read and a write latency to all connections and the connection handler. Additionally, we add an access latency to the memory. There are no read or write latency added to access elements of the processing units. Only access paths specify the routes from the specific processing unit to the memory across the connection handler, see the following screenshot.</p>
<p>
- <img class="scale" src="images/user_timing_model_example.png"/>
+ <img class="scale" src="images/user_timing_model_example.png" />
</p>
- <p>As described in the beginning of this section, a single data access may result in a series of events. Expected simulation behavior is as follows: When the discrete-event simulator encounters a runnable item for a data read access at Cpu0, we add an event for one tick later to the event queue of the simulator, denoting passing the connection from Cpu0 to the connection handler MyConnectionHandler. (For simplicity, we do not use time durations calculated from the Cpu0's frequency here, what would be required to determine the correct point in simulated time for the event). After passing the connection, the state of MyConnectionHandler is relevant for the next event: Either MyConnectionHandler is occupied by a data access (from Cpu1), a data access arrives at the same time, or MyConnectionHandler is available.</p>
+ <p>As described in the beginning of this section, a single data access may result in a series of events. Expected simulation behavior is as follows: When the discrete-event simulator encounters a runnable item for a data read access at CPU0, we add an event for one tick later to the event queue of the simulator, denoting passing the connection from CPU0 to the connection handler MyConnectionHandler. (For simplicity, we do not use time durations calculated from the CPU0's frequency here, what would be required to determine the correct point in simulated time for the event). After passing the connection, the state of MyConnectionHandler is relevant for the next event: Either MyConnectionHandler is occupied by a data access (from CPU1), a data access arrives at the same time, or MyConnectionHandler is available.</p>
<ul>
<li>If MyConnectionHandler is available, we add an event for three ticks later-this is the read latency of the connection handler.</li>
</ul>
<ul>
- <li>If a data access from Cpu1 arrives at the same time, the connection handler handles this data access based on the selected arbitration mechanism (attribute not shown in the screen shot – we assume priority based with a higher priority for Cpu1). We add an event for three ticks later, when MyConnectionHandler is available again. We then check again for data accesses from Cpu1 at the same time and set a corresponding event.</li>
+ <li>If a data access from CPU1 arrives at the same time, the connection handler handles this data access based on the selected arbitration mechanism (attribute not shown in the screen shot – we assume priority based with a higher priority for CPU1). We add an event for three ticks later, when MyConnectionHandler is available again. We then check again for data accesses from CPU1 at the same time and set a corresponding event.</li>
</ul>
<ul>
- <li>If MyConnectionHandler is occupied, we add an event for whenever the connection handler is not occupied anymore. We then check for data accesses from Cpu1 at the same time and set a corresponding event.</li>
+ <li>If MyConnectionHandler is occupied, we add an event for whenever the connection handler is not occupied anymore. We then check for data accesses from CPU1 at the same time and set a corresponding event.</li>
</ul>
- <p>Eventually, MyConnectionHandler may handle the read access from Cpu0, and when the simulator reacts on the corresponding event, we add an event for one tick later, as this is the read latency for the connection between the connection handler and the memory. The final event for this read data access from Cpu0 results from the access latency of the memory (twelve ticks). When the simulator reacts on that final event, the read access from Cpu0 is completed and the simulator can handle the next runnable item at Cpu0, if available.</p>
+ <p>Eventually, MyConnectionHandler may handle the read access from CPU0, and when the simulator reacts on the corresponding event, we add an event for one tick later, as this is the read latency for the connection between the connection handler and the memory. The final event for this read data access from CPU0 results from the access latency of the memory (twelve ticks). When the simulator reacts on that final event, the read access from CPU0 is completed and the simulator can handle the next runnable item at CPU0, if available.</p>
<p>Note that in the above example there is only one contention point. We thus could reduce the number of events for an optimized simulation. Further, note that we ignore size of data elements in this example. We could use
<strong>data rates</strong> instead of latencies at connections, the connection handler, and the memory to respect data sizes in timing simulation or work with the bit width of ports. Furthermore beside constant latency values it is also possible to use distributions, in this case the simulator role the dice regarding the distribution. At a last note, adding to the discussion of different detail levels: Depending on use-case, modeling purpose, and timing analysis tool, there may be best practice defined for modeling. For instance, one tool may rely on data rates, while other tools require latencies but only at memories and connection handlers, not connections. Tool specific model transformations and validation rules should handle and define such restrictions.
</p>
-<h3><a id="section2.2.2">2.2.2 </a>Hardware</h3>
+<h3 id="user-hw"><a id="section2.2.2">2.2.2 </a>Hardware</h3>
<h4><a id="section2.2.2.1"></a>Structural Modeling of Heterogeneous Platforms</h4>
@@ -990,7 +1021,7 @@
<strong>recipe</strong>. A "recipe" thus takes execution needs of software and features of the hardware as input and results in costs, such as the net execution time. Consequently, recipes are the main area of model refinement during development. The concept is illustrated below.
</p>
<p>
- <img class="scale" src="images/user_recipe_concept.png"/>
+ <img class="scale" src="images/user_recipe_concept.png" />
</p>
<p>Note that flexibility is part of the design of this approach. Execution needs and features are not limited to a given set, and recipes can be almost arbitrary prescripts of computation. This allows to introduce new execution needs when required to favorable detail an algorithm. For instance, the execution need "convolution-VGG16" can be introduced to model a specific need for a deep learning algorithm. The feature "MAC" of the executing processing unit provides costs in ticks corresponding to perform a MAC operation. The recipe valid for the mapping then uses these two attributes to compute the net execution time of "convolution-VGG16" in ticks, for instance, by multiplying the costs of xyz MAC operations with a penalty factor of 0.8. Note that with this approach execution needs may be translated very differently into costs, using different features.</p>
<p>To further motivate this approach, we give some more benefits and examples of beneficial use of the model:</p>
@@ -1001,14 +1032,14 @@
</ul>
-<h4><a id="section2.2.2.3"></a>General Hardware Model Overview</h4>
+<h4 id="user-hw-overview"><a id="section2.2.2.3"></a>General Hardware Model Overview</h4>
<p>The design of the new hardware model is focusing on flexibility and variety to cover different kind of designs to cope with future extensions, and also to support different levels of abstraction. To reduce the complexity of the meta model for representing modern hardware architectures, as less elements as possible are introduced. For example, dependent of the abstraction level, a component called
<em>ConnectionHandler</em> can express different kind of connection elements, e.g. a crossbar within a SoC or a CAN bus within an E/E-architecture. A simplified overview of the meta model to specify hardware as a model is shown below. The components
<em>ConnectionHandler, ProcessingUnit, Memory</em> and
<em>Cache</em> are referred in the following as basic components.
</p>
<p>
- <img class="scale" src="images/user_hw_model_class_diagram.png"/>
+ <img class="scale" src="images/user_hw_model_class_diagram.png" />
<br>Class diagram of the hardware model
</p>
<p>The root element of a hardware model is always the
@@ -1023,7 +1054,7 @@
<em>FrequencyDomain</em>.
</p>
<p>
- <img class="scale" src="images/user_hw_definition_example.png"/>
+ <img class="scale" src="images/user_hw_definition_example.png" />
<br>Link between definitions and module instances (physical components)
</p>
<p>Yellow represents the power and frequency domains that are always created at the top level of the hardware model. It is possible to model different frequency or voltage values, e.g., when it is possible to set a systems into a power safe mode. All components that reference the domain are then supplied with the corresponding value of the domain.</p>
@@ -1048,7 +1079,7 @@
<em>HwAccessPaths</em>.
</p>
<p>
- <img class="scale" src="images/user_hw_access_paths.png"/>
+ <img class="scale" src="images/user_hw_access_paths.png" />
<br>Access elements in the hardware model
</p>
@@ -1059,7 +1090,7 @@
<em>ExecutionNeed</em> element in a Runnable. The following figure shows this connection between the grey Runnable item block and the white Features block. Due to the mapping (Task or Runnable to ProcessingUnit) the corresponding feature value can be extracted out of the ProcessingUnitDefinition.
</p>
<p>
- <img class="scale" src="images/user_hw_feature_runnable_connection.png"/>
+ <img class="scale" src="images/user_hw_feature_runnable_connection.png" />
</p>
<p>An example based on the old hardware model is the "instruction per cycle" value (IPC). To model an IPC with the new approach a
<em>HwFeatureCategory</em> is created with the name
@@ -1070,7 +1101,7 @@
<em>Note: In version 0.9.0 to 0.9.2 exists a default ExecutionNeed Instructions together with a the HwFeatre IPC the cycles can be calculated by dividing the Instructions by the IPC value.</em>
</p>
<p>
- <img class="scale" src="images/user_hw_feature_runnable_example.png"/>
+ <img class="scale" src="images/user_hw_feature_runnable_example.png" />
<br>Execution needs example
</p>
@@ -1080,7 +1111,7 @@
<em>ConnectionHandlers</em> is the following:
</p>
<p>
- <img class="scale" src="images/user_hw_latencies.png"/>
+ <img class="scale" src="images/user_hw_latencies.png" />
</p>
<ul>
<li>
@@ -1156,7 +1187,7 @@
<br>A prototype can then be processed and checked by different algorithms. Finally a partitioning algorithm generates (one or more) tasks that are the runtime equivalents of the prototype.
</p>
<p>
- <img src="images/process_prototypes.png"/>
+ <img src="images/process_prototypes.png" />
</p>
<p>This processing can be guided by specifications that are provided by the function developers:</p>
<ul>
@@ -1184,7 +1215,7 @@
<i>ProcessPrototypes</i>. Typically they are defined before the creation of tasks (and the runnable to task mappings). So this is a way to cluster runnables and to document when the runnables should be executed.
</p>
<p>
- <img src="images/model__activations.png"/>
+ <img src="images/model__activations.png" />
</p>
<p>The following activation patterns can be distinguished:</p>
<ul>
@@ -1204,7 +1235,7 @@
<h3 id="user-sw-runtime"><a id="section2.2.4">2.2.4 </a>Software (runtime)</h3>
<p>During runtime, the dynamic behavior of the software can be observed. The following Gantt chart shows an excerpt of such a dynamic behavior.</p>
<p>
- <img src="images/user_sw_runtime_gantt.png" style="width: 1000px"/>
+ <img src="images/user_sw_runtime_gantt.png" style="width: 1000px" />
</p>
<p>To model the observed behavior in the AMALTHEA model there are schedulable units (Processes) that contain the basic software units (Runnables) and stimuli that describe when the processes are executed. Statistical elements like distributions (Gauss, Weibull, ...) are also available in the model. They allow describing the variation of values if there are multiple occurrences. </p>
<p>In the following sections, a high level description of the individual elements of a software description that define the dynamic behavior are presented.</p>
@@ -1212,14 +1243,14 @@
<h4><a id="section2.2.4.1"></a>Processes (Tasks or ISRs)</h4>
<p>
- <img src="images/user_sw_runtime_gantt_task.png" style="width: 1000px"/>
+ <img src="images/user_sw_runtime_gantt_task.png" style="width: 1000px" />
</p>
<p>Processes represent executable units that are managed by an operating system scheduler. A process is thus the smallest schedulable unit managed by the operating system. Each process also has its own name space and resources (including memory) protected against use from other processes. In general, two different kinds of processes can be distinguished: task and Interrupt Service Routine (ISR). Latter is a software routine called in case of an interrupt. ISRs have normally higher priority than tasks and can only be suspended by another ISR which presents a higher priority than the one running. In the Gantt chart above, a task called 'TASK_InputProcessing' can be seen. All elements that run within the context of a process are described in the following sections.</p>
<h5><a id="section2.2.4.1.1"></a>Runnables</h5>
<p>
- <img src="images/user_sw_runtime_gantt_runnable.png" style="width: 1000px"/>
+ <img src="images/user_sw_runtime_gantt_runnable.png" style="width: 1000px" />
</p>
<p>Runnables are basic software units. In general it can be said that a Runnable is comparable to a function. It runs within the context of a process and is described by a sequence of instructions. Those instructions can again represent different actions that define the dynamic behavior of the software. Following, such possible actions are listed:</p>
<ul>
@@ -1229,21 +1260,21 @@
<li>...</li>
</ul>
<p>
- <img src="images/user_sw_new_runnable_item.png"/>
+ <img src="images/user_sw_new_runnable_item.png" />
</p>
<p>In the following sections elements, that can be of concern within a runnable, are described in more detail.</p>
<h5><a id="section2.2.4.1.2"></a>Labels</h5>
<p>
- <img src="images/user_sw_runtime_gantt_signal.png" style="width: 1000px"/>
+ <img src="images/user_sw_runtime_gantt_signal.png" style="width: 1000px" />
</p>
<p>Labels represent the system's view of data exchange. As a consequence, labels are used to represent communication in a flattened structure, with (at least) one label defined for each data element sent or received by a Runnable instance.</p>
<h5><a id="section2.2.4.1.3"></a>Semaphore</h5>
<p>
- <img src="images/user_sw_runtime_gantt_semaphore.png" style="width: 1000px"/>
+ <img src="images/user_sw_runtime_gantt_semaphore.png" style="width: 1000px" />
</p>
<p>The main functionality of a semaphore is to control simultaneous use of a single resource by several entities, e.g. scheduling of requests, multiple access protection.</p>
@@ -1260,7 +1291,7 @@
<li>InterProcess: activations based on an explicit inter-process trigger</li>
</ul>
<p>
- <img src="images/model__stimuli.png"/>
+ <img src="images/model__stimuli.png" />
</p>
@@ -1283,6 +1314,79 @@
</ul>
+<h4><a id="section2.2.5.3"></a>Support of Packages </h4>
+ <p>In Amalthea model
+ <em>(from APP4MC 0.9.7 version)</em> there is a feature to support grouping of following model elements listed below in a package:
+ </p>
+ <ul>
+ <li>Component</li>
+ <li>Composite</li>
+ <li>MainInterface</li>
+ </ul>
+ <blockquote>
+ <p>Above mentioned classes are implementing interface
+ <strong>IComponentStructureMember</strong>
+ </p>
+ </blockquote>
+ <p>
+ <strong>ComponentStructure</strong> element in Amalthea model represents a package, and this can be referred by above mentioned elements.
+ </p>
+
+
+<h5><a id="section2.2.5.3.1"></a>Example of using Package</h5>
+ <p>Amalthea model contains a parent ComponentStructure "BC" and two child ComponentStructure's "FC1", "FC2".</p>
+ <ul>
+ <li>Component element "Comp3" is associated to ComponentStructure "FC1" and the Component element "Comp4" is associated to ComponentStructure "FC2"</li>
+ </ul>
+ <p>This representation demonstrates the grouping of the elements into different packages.</p>
+ <p>
+ <img class="gray_scale" src="images/user_guide_package_support.png" />
+ </p>
+
+
+<h4><a id="section2.2.5.4"></a>Support of Namespaces </h4>
+ <p>In Amalthea model
+ <em>(from APP4MC 0.9.7 version)</em> there is a feature to have Namespace for the following model elements (
+ <i>which are implementing interface
+ <strong>INamespaceMember</strong>
+ </i>):
+ </p>
+ <ul>
+ <li>BaseTypeDefinition</li>
+ <li>Channel</li>
+ <li>Component</li>
+ <li>Composite</li>
+ <li>DataTypeDefinition</li>
+ <li>Label</li>
+ <li>MainInterface</li>
+ <li>Runnable</li>
+ <li>TypeDefinition</li>
+ </ul>
+ <p>Advantage of having Namespace is, there can be multiple elements defined with the same name but with different Namespace
+ <i>(this feature will also be helpful to support c++ source code generation )</i>. If Namspace is specified in Amalthea model for a specific model element, then its unique name is built by considering the "Namespace text + name of the element"
+ </p>
+
+
+<h5><a id="section2.2.5.4.1"></a>Example of using Namespace</h5>
+ <p>As shown in the below screenshot, there are two Component elements with the name "Comp1" but referring to different Namespace objects, which is making them unique. In this case, display in the UI editor is also updated by showing the Namespace in the prefix for the Amalthea element name.</p>
+ <p>
+ <img class="gray_scale" src="images/user_guide_namespace_support.png" />
+ </p>
+ <p>Below is the text representation of the Amalthea model which shows the ComponentInstance elements referring to different Component elements. As mentioned above, highlighted text shows that unique name of the Component element
+ <i class="built by including the associated Namespace to the Component element">__ is used all the places where it is referenced __(to make it unique)</i>
+ </p>
+ <p>
+ <img class="gray_scale" src="images/user_guide_namespace_support_xmlcontent.png" />
+ </p>
+ <p>
+ <strong>Additional Information</strong>:
+ </p>
+ <ul>
+ <li>As soon as Namespace elements are used in Amalthea model, AMXMI file is updated with additional attribute xmi:id for all elements implementing IReferable interface.</li>
+ <li>On Amalthea model element implementing INamed interface, in addition to getName() API, getQualifiedName() API is available which returns <namespace string value>.getName()</li>
+ </ul>
+
+
<h3><a id="section2.2.6">2.2.6 </a>Scheduling</h3>
@@ -1297,7 +1401,7 @@
</li>
</ul>
<p>
- <img src="images/user-scheduling-sched-allocation.png"/>
+ <img src="images/user-scheduling-sched-allocation.png" />
</p>
@@ -1313,7 +1417,7 @@
</ul>
<p>The scheduling parameters are determined by the scheduling algorithm and are only valid for a specific task – scheduler combination. Therefore the parameters are specified in the TaskAllocation object.</p>
<p>
- <img src="images/user-scheduling-task-allocation.png"/>
+ <img src="images/user-scheduling-task-allocation.png" />
</p>
@@ -1322,7 +1426,7 @@
<br>The scheduling parameters are determined by the scheduling algorithm of the parent scheduler. Therefore the relevant parameters in the hierarchical context are specified in the (intermediate) SchedulerAssociation object.
</p>
<p>
- <img src="images/user-scheduling-hierarchy.png"/>
+ <img src="images/user-scheduling-hierarchy.png" />
</p>
@@ -1332,7 +1436,7 @@
<h4><a id="section2.2.7.1"></a>Channel</h4>
<p>Sender and receiver communicating via a channel by issuing send and receive operations; read policy and transmission policy define communication details.</p>
<p>
- <img src="images/user_channel.png"/>
+ <img src="images/user_channel.png" />
</p>
<p>A channel is specified by three attributes:</p>
<ul>
@@ -1351,7 +1455,7 @@
<h4><a id="section2.2.7.2"></a>Channel Access</h4>
<p>In the basic thinking model, all elements are stored as a sequential collection in the channel.</p>
<p>
- <img src="images/user_channel_access.png"/>
+ <img src="images/user_channel_access.png" />
</p>
@@ -1397,7 +1501,7 @@
</ul>
<p>In the following several examples are shown, of how to read or take elements out of a channel with the introduced parameters.</p>
<p>
- <img src="images/user_channel_operations.png"/>
+ <img src="images/user_channel_operations.png" />
</p>
<p>Two attributes further detail the receive operation:</p>
<ul>
@@ -1426,7 +1530,7 @@
</ul>
<p>Example for using transmission policy to detail the receiving phase of a runnable execution. Two elements are received, leading to transmission time as given in the formula. After the receiving phase, the runnable starts with the computing phase.</p>
<p>
- <img src="images/user_channel_transmission_example.png"/>
+ <img src="images/user_channel_transmission_example.png" />
</p>
@@ -1443,14 +1547,14 @@
<br>Internal dataflow is specified as dependency of label writes to other labels, parameters of the runnable or event return values of called runnables. With this information, the connection of reads to writes of label can be drawn.
</p>
<p>
- <img src="images/user_sw_data_dependency_view.png"/>
+ <img src="images/user_sw_data_dependency_view.png" />
</p>
<p>The internal dependencies are typically generated through source code analysis. The analysis parses the code and determines all writes to labels. For each of those positions, a backward slicing is made on the abstract syntax tree to derive all reads that influence this write. This collection is then stored as dependency at the write access.
<br>Based upon this data a developer can now track a signal flow along from the sensor over several other runnables to the actuator. Existing event-chains can be automatically validated to contain a valid flow by checking if the segments containing a read label event and write label event within the same runnable are connected by an internal dependency. Without internal dependencies, this would introduce a huge manual effort. Afterwards the event-chains can be simulated and their end-to-end latencies determined with the usual tools.
</p>
-<h3><a id="section2.2.9">2.2.9 </a>Memory Sections</h3>
+<h3 id="user-memsection"><a id="section2.2.9">2.2.9 </a>Memory Sections</h3>
<p>
<b>Purpose</b>
</p>
@@ -1489,7 +1593,7 @@
<em>(is defined as part of data specification)</em> is associated to Label1 and Label2.
</p>
<p>
- <img class="scale" src="images/user_section_label_ref_to_memsection.png"/>
+ <img class="scale" src="images/user_section_label_ref_to_memsection.png" />
</p>
<p>In Linker configuration it is specified that mem.sec1 can be allocated only in Ram1 or Ram2.</p>
<p>Below diagram represents the
@@ -1500,7 +1604,7 @@
</em> - w.r.t. possibility for physical allocation of mem.sec1 in various memories .
</p>
<p>
- <img class="scale" src="images/user_section_linker_memsection.png"/>
+ <img class="scale" src="images/user_section_linker_memsection.png" />
</p>
<p>Based on the above configuration – Linker will allocate Label1, Label2 either in Ram1/Ram2/SYSRAM but not in Ram3/Ram4.</p>
@@ -1525,7 +1629,7 @@
<i>(generated after linker run)</i>.
</p>
<p>
- <img class="scale" src="images/user_section_virtual_to_physical.png"/>
+ <img class="scale" src="images/user_section_virtual_to_physical.png" />
</p>
@@ -1549,7 +1653,7 @@
</ul>
<p>Below figure represents the modeling of "Memory Section" (both virtual and physical) information in AMALTHEA model:
<br>
- <img class="scale" src="images/user_section_amalthea.png"/>
+ <img class="scale" src="images/user_section_amalthea.png" />
</p>
<p>Below are equivalent elements of AMALTHEA model used for modeling the Memory Section information:</p>
<ul>
@@ -1631,14 +1735,14 @@
<p>Modeling Example 1 describes a simple system consisting of 4 Tasks, which is running on a dual core processor.
<br>The following figure shows the execution footprint in a Gantt chart:
<br>
- <img src="images/modeling_1_gantt.png"/>
+ <img src="images/modeling_1_gantt.png" />
<br>In the following sections, the individual parts of the AMALTHEA model for Modeling Example 1 are presented followed by a short description of its elements.
</p>
<h4><a id="section2.3.1.2"></a>Hardware Model</h4>
<p>
- <img src="images/modeling_1_hw.png"/>
+ <img src="images/modeling_1_hw.png" />
</p>
<p>The hardware model of Modeling Example 1 consists as already mentioned of a dual core processor.
<br>The following gives a structural overview on the modeled elements.
@@ -1648,7 +1752,7 @@
<h4><a id="section2.3.1.3"></a>Operating System Model</h4>
<p>
- <img src="images/modeling_1_schedulers.png"/>
+ <img src="images/modeling_1_schedulers.png" />
</p>
<p>The operating system (OS) model defines in case of Modeling Example 1 only the needed Scheduler.
<br>Since a dual core processor has to be managed, two schedulers are modeled correspondingly.
@@ -1683,7 +1787,7 @@
<h4><a id="section2.3.1.4"></a>Mapping Model</h4>
<p>
- <img src="images/modeling_1_mapping.png"/>
+ <img src="images/modeling_1_mapping.png" />
</p>
<p>The mapping model defines allocations between different model parts.
<br>On the one hand, this is the allocation of processes to a scheduler.
@@ -1742,7 +1846,7 @@
<h5><a id="section2.3.1.5.1"></a>Tasks</h5>
<p>
- <img src="images/modeling_1_tasks.png"/>
+ <img src="images/modeling_1_tasks.png" />
</p>
<p>As already mentioned above, the software model of Modeling Example 1 consists exactly of four tasks, named 'Task_1' to 'Task_4'.
<br>Each task is preemptive and has a priority assigned according its deadline, meaning the one with the shortest deadline, 'Task_1', has the highest priority, and so on.
@@ -1822,7 +1926,7 @@
<h5><a id="section2.3.1.5.2"></a>Runnables</h5>
<p>
- <img src="images/modeling_1_runnables.png"/>
+ <img src="images/modeling_1_runnables.png" />
</p>
<p>In addition to the task, the software model also contains a definition of Runnables.
<br>For Modeling Example 1, ten individual Runnables are defined.
@@ -1880,7 +1984,7 @@
<h4><a id="section2.3.1.6"></a>Stimuli Model</h4>
<p>
- <img src="images/modeling_1_stimuli.png"/>
+ <img src="images/modeling_1_stimuli.png" />
</p>
<p>The stimulation model defines the activations of tasks.
<br>Since the four tasks of Modeling Example 1 are activated periodically, four stimuli according their recurrence are modeled.
@@ -1927,14 +2031,14 @@
<p>Modeling Example 2 describes a simple system consisting of 4 Tasks, which is running on a single core processor.
<br>The following figure shows the execution footprint in a Gantt chart:
<br>
- <img src="images/modeling_2_gantt.png"/>
+ <img src="images/modeling_2_gantt.png" />
<br>In the following sections, the individual parts of the AMALTHEA model for Modeling Example 2 are presented followed by a short description of its elements.
</p>
<h4><a id="section2.3.2.2"></a>Hardware Model</h4>
<p>
- <img src="images/modeling_2_hw.png"/>
+ <img src="images/modeling_2_hw.png" />
</p>
<p>The hardware model of Modeling Example 2 consists as already mentioned of a single core processor.
<br>The following gives a structural overview on the modeled elements.
@@ -1944,7 +2048,7 @@
<h4><a id="section2.3.2.3"></a>Operating System Model</h4>
<p>
- <img src="images/modeling_2_scheduler.png"/>
+ <img src="images/modeling_2_scheduler.png" />
</p>
<p>The operating system (OS) model defines in case of Modeling Example 2 only the needed Scheduler.
<br>Since only a single core has to be managed, a single scheduler is modeled correspondingly.
@@ -1971,7 +2075,7 @@
<h4><a id="section2.3.2.4"></a>Mapping Model</h4>
<p>
- <img src="images/modeling_2_mapping.png"/>
+ <img src="images/modeling_2_mapping.png" />
</p>
<p>The mapping model defines allocations between different model parts.
<br>On the one hand, this is the allocation of processes to a scheduler.
@@ -2025,7 +2129,7 @@
<h5><a id="section2.3.2.5.1"></a>Tasks</h5>
<p>
- <img src="images/modeling_2_tasks.png"/>
+ <img src="images/modeling_2_tasks.png" />
</p>
<p>As already mentioned above, the software model of Modeling Example 2 consists exactly of four tasks, named 'Task_1' to 'Task_4'.
<br>All tasks have assigned the same priority (10) to get a cooperative scheduling.
@@ -2111,7 +2215,7 @@
<h5><a id="section2.3.2.5.2"></a>Runnables</h5>
<p>
- <img src="images/modeling_2_runnables.png"/>
+ <img src="images/modeling_2_runnables.png" />
</p>
<p>In addition to the task, the software model also contains a definition of Runnables.
<br>For Modeling Example 2, seven individual Runnables are defined.
@@ -2189,7 +2293,7 @@
<h4><a id="section2.3.2.6"></a>Stimulation Model</h4>
<p>
- <img src="images/modeling_2_stimuli.png"/>
+ <img src="images/modeling_2_stimuli.png" />
</p>
<p>The stimulation model defines the activations of tasks.
<br>'Task_1' is activated periodically by 'Stimulus_Task_1'
@@ -2218,14 +2322,14 @@
<strong>Stimulus_Task_2</strong>
</td>
<td colspan="1" rowspan="1">Inter-Process</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
<strong>Stimulus_Task_3</strong>
</td>
<td colspan="1" rowspan="1">Inter-Process</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="3">
@@ -2362,7 +2466,7 @@
<td colspan="1" rowspan="6">1</td>
<td colspan="1" rowspan="6">FULL</td>
<td colspan="1" rowspan="6">1</td>
- <td colspan="1" rowspan="2"/>
+ <td colspan="1" rowspan="2" />
<td colspan="1" rowspan="3">R<sub>7,1</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2383,7 +2487,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Min = 19.95</td>
</tr>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1" style="text-align: left;">Max = 20</td>
</tr>
</table>
@@ -2394,7 +2498,7 @@
</dt>
<dd>For this variation, the Tasks T<sub>4</sub>, T<sub>5</sub>, T<sub>6</sub>, and T<sub>7</sub> of the table above are active.
<br>
- <img src="images/modeling_example_periodic_1.png"/>
+ <img src="images/modeling_example_periodic_1.png" />
</dd>
</dl>
<dl>
@@ -2403,7 +2507,7 @@
</dt>
<dd>For this variation, the Tasks T<sub>3</sub>, T<sub>4</sub>, T<sub>5</sub>, T<sub>6</sub>, and T<sub>7</sub> are active. That way the utilization of the system is increased.
<br>
- <img src="images/modeling_example_periodic_2.png"/>
+ <img src="images/modeling_example_periodic_2.png" />
</dd>
</dl>
<dl>
@@ -2412,7 +2516,7 @@
</dt>
<dd>For this variation, the Tasks T<sub>1</sub>, T<sub>3</sub>, T<sub>4</sub>, T<sub>5</sub>, T<sub>6</sub>, and T<sub>7</sub> are active. That way the utilization of the system is increased.
<br>
- <img src="images/modeling_example_periodic_3.png"/>
+ <img src="images/modeling_example_periodic_3.png" />
</dd>
</dl>
<dl>
@@ -2421,7 +2525,7 @@
</dt>
<dd>As from this variation on, all tasks (T<sub>1</sub> - T<sub>7</sub>) are active. That way the utilization of the system is increased.
<br>
- <img src="images/modeling_example_periodic_4.png"/>
+ <img src="images/modeling_example_periodic_4.png" />
</dd>
</dl>
<dl>
@@ -2430,7 +2534,7 @@
</dt>
<dd>For this variation, just task events are active. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_periodic_5.png"/>
+ <img src="images/modeling_example_periodic_5.png" />
</dd>
</dl>
<dl>
@@ -2439,7 +2543,7 @@
</dt>
<dd>As from this variation on, T<sub>7</sub> is set to non-preemptive. That way, the timing behavior is changed, which results in extinct activations (see red mark in the figure below).
<br>
- <img src="images/modeling_example_periodic_6.png"/>
+ <img src="images/modeling_example_periodic_6.png" />
</dd>
</dl>
<dl>
@@ -2448,7 +2552,7 @@
</dt>
<dd>As from this variation on, the maximum number of queued activation requests for all tasks is set to 2. That way, the problem with extinct activations resulting from the previous variation is solved.
<br>
- <img src="images/modeling_example_periodic_7.png"/>
+ <img src="images/modeling_example_periodic_7.png" />
</dd>
</dl>
<dl>
@@ -2457,7 +2561,7 @@
</dt>
<dd>For this variation, a schedule point is added to T<sub>7</sub> between the calls of R<sub>7,1</sub> and R<sub>7,2</sub>. That way, the timing behavior is changed in particular.
<br>
- <img src="images/modeling_example_periodic_8.png"/>
+ <img src="images/modeling_example_periodic_8.png" />
</dd>
</dl>
<dl>
@@ -2466,7 +2570,7 @@
</dt>
<dd>For this variation, the scheduling algorithm is set to Earliest Deadline First. That way, the timing behavior is changed completely.
<br>
- <img src="images/modeling_example_periodic_9.png"/>
+ <img src="images/modeling_example_periodic_9.png" />
</dd>
</dl>
@@ -2474,7 +2578,7 @@
<h3><a id="section2.3.4">2.3.4 </a>Modeling Example "Client-Server without Reply"</h3>
<p>This system architecture pattern extends the modeling example "Purely Periodic without Communication" by adding an one-way communication between tasks. It consists of two tasks T<sub>1</sub>, and T<sub>2</sub>. Task T<sub>1</sub> sends a message to Task T<sub>2</sub> before runnable R<sub>1</sub> is called. In 20% of the cases Message 1, in 30% of the cases Message 2, in 20% of the cases Message 3, in 15% of the cases Message 4, and in 15% of the cases any other message than the previously mentioned ones is sent. Task T<sub>2</sub> reacts on the contents of the message by calling different runnables. In case of Message 1 runnable R<sub>2,1</sub>, in case of Message 2 runnable R<sub>2,2</sub>, in case of Message 3 runnable R<sub>2,3</sub>, in case of Message 4 runnable R<sub>2,4</sub>, and in case of any other message than the previous mentioned ones runnable R<sub>2,x</sub> is called as default.</p>
<p>
- <img src="images/modeling_example_client_server.png"/>
+ <img src="images/modeling_example_client_server.png" />
</p>
<p>The table below gives a detailed specification of the tasks and their parameters. The tasks are scheduled according fixed-priority, preemptive scheduling and if not indicated otherwise, all events are active in order to get a detailed insight into the system's behavior.</p>
<table class="classic" style="text-align:center; background:#f8f8f8">
@@ -2508,7 +2612,7 @@
<td colspan="1" rowspan="15">1</td>
<td colspan="1" rowspan="15">FULL</td>
<td colspan="1" rowspan="15">1</td>
- <td colspan="1" rowspan="6"/>
+ <td colspan="1" rowspan="6" />
<td colspan="1" rowspan="3">R<sub>2,x</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2542,7 +2646,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Max = 50 * 10<sup>3</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="6"/>
+ <td colspan="1" rowspan="6" />
<td colspan="1" rowspan="3">R<sub>2,3</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2570,7 +2674,7 @@
</dt>
<dd>As defined by the table above.
<br>
- <img src="images/modeling_example_client_server_1.png"/>
+ <img src="images/modeling_example_client_server_1.png" />
</dd>
</dl>
<dl>
@@ -2579,7 +2683,7 @@
</dt>
<dd>For this variation, all data accesses are protected by an exclusive area. Therefore, the data accesses in T<sub>1</sub> as well as all runnables in T<sub>2</sub> (R<sub>2,x</sub>, R<sub>2,1</sub>, R<sub>2,2</sub>, R<sub>2,3</sub>, and R<sub>2,4</sub>) are protected during their complete time of execution via a mutex and priority ceiling protocol. That way, blocking situations appear.
<br>
- <img src="images/modeling_example_client_server_2.png"/>
+ <img src="images/modeling_example_client_server_2.png" />
</dd>
</dl>
<dl>
@@ -2589,7 +2693,7 @@
<dd>As from this variation on, task T<sub>2</sub> gets activated by an inter-process activation from task T<sub>1</sub> instead of being activated periodically. The interprocess activation is performed right after the message
<em>message</em> is written in T<sub>2</sub> and consequently before the runnable R<sub>1</sub> is called. That way, a direct connection between T<sub>1</sub> and T<sub>2</sub> is established.
<br>
- <img src="images/modeling_example_client_server_3.png"/>
+ <img src="images/modeling_example_client_server_3.png" />
</dd>
</dl>
<dl>
@@ -2598,7 +2702,7 @@
</dt>
<dd>As from this variation on, the priority relation between task T<sub>1</sub> and T<sub>2</sub> is reversed. As a consequence, the priority of task T<sub>1</sub> is set to 1 and the priority of task T<sub>2</sub> is set to 2. That way, a switch from asynchronous to synchronous communication is considered.
<br>
- <img src="images/modeling_example_client_server_4.png"/>
+ <img src="images/modeling_example_client_server_4.png" />
</dd>
</dl>
<dl>
@@ -2607,7 +2711,7 @@
</dt>
<dd>As from this variation on, the periodicity of T<sub>1</sub> is shortened. For this, the value for the period of task T<sub>1</sub> is cut in half to 50 * 10<sup>6</sup> time units. That way, the utilization of the system is increased.
<br>
- <img src="images/modeling_example_client_server_5.png"/>
+ <img src="images/modeling_example_client_server_5.png" />
</dd>
</dl>
<dl>
@@ -2616,7 +2720,7 @@
</dt>
<dd>As from this variation on, the execution time distribution is widened for both tasks. Therefore, the maximum of every uniform distribution is increased by 1 percent so that they vary now by 2 percent. That way, the utilization of the system is increased, which results in extinct activations.
<br>
- <img src="images/modeling_example_client_server_6.png"/>
+ <img src="images/modeling_example_client_server_6.png" />
</dd>
</dl>
<dl>
@@ -2625,7 +2729,7 @@
</dt>
<dd>As from this variation on, the maximum number of queued activation requests for both tasks is set to 2. That way, the problem with extinct activations resulting from the previous variation is solved.
<br>
- <img src="images/modeling_example_client_server_7.png"/>
+ <img src="images/modeling_example_client_server_7.png" />
</dd>
</dl>
<dl>
@@ -2634,7 +2738,7 @@
</dt>
<dd>For this variation, the data accesses in task T<sub>1</sub> and task T<sub>2</sub> are omitted. Instead, the runnable entities R<sub>2,x</sub>, R<sub>2,1</sub>, R<sub>2,2</sub>, R<sub>2,3</sub>, and R<sub>2,4</sub>, each representing the receipt of a specific message, are executed equally random, meaning each with a probability of 20%. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_client_server_8.png"/>
+ <img src="images/modeling_example_client_server_8.png" />
</dd>
</dl>
<dl>
@@ -2643,7 +2747,7 @@
</dt>
<dd>For this variation, just task events are active. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_client_server_9.png"/>
+ <img src="images/modeling_example_client_server_9.png" />
</dd>
</dl>
@@ -2655,7 +2759,7 @@
<sub>2,3</sub> represent then the three different states that the system can be in.
</p>
<p>
- <img src="images/modeling_example_state_machine.png"/>
+ <img src="images/modeling_example_state_machine.png" />
</p>
<p>The table below gives a detailed specification of the tasks and their parameters. The tasks are scheduled according fixed-priority, preemptive scheduling and if not indicated otherwise, all events are active in order to get a detailed insight into the system's behavior.</p>
<table class="classic" style="text-align:center; background:#f8f8f8">
@@ -2689,7 +2793,7 @@
<td colspan="1" rowspan="9">1</td>
<td colspan="1" rowspan="9">FULL</td>
<td colspan="1" rowspan="9">1</td>
- <td colspan="1" rowspan="3"/>
+ <td colspan="1" rowspan="3" />
<td colspan="1" rowspan="3">R
<sub>2,1</sub>
</td>
@@ -2717,7 +2821,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Max = 100 * 10<sup>3</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="3"/>
+ <td colspan="1" rowspan="3" />
<td colspan="1" rowspan="3">R<sub>2,3</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2735,7 +2839,7 @@
</dt>
<dd>As defined by the table above.
<br>
- <img src="images/modeling_example_state_machine_1.png"/>
+ <img src="images/modeling_example_state_machine_1.png" />
</dd>
</dl>
<dl>
@@ -2744,7 +2848,7 @@
</dt>
<dd>For this variation, all data accesses are protected by an exclusive area. Therefore, the data accesses in T<sub>1</sub> as well as all runnables in T<sub>2</sub> (R<sub>2,1</sub>, R<sub>2,2</sub>, and R<sub>2,3</sub>) are protected during their complete time of execution via a mutex and priority ceiling protocol. That way, blocking situations appear.
<br>
- <img src="images/modeling_example_state_machine_2.png"/>
+ <img src="images/modeling_example_state_machine_2.png" />
</dd>
</dl>
<dl>
@@ -2753,7 +2857,7 @@
</dt>
<dd>As from this variation on, the priority relation between task T<sub>1</sub> and T<sub>2</sub> is reversed. As a consequence, the priority of task T<sub>1</sub> is set to 1 and the priority of task T<sub>2</sub> is set to 2. That way, the timing behavior is changed fully.
<br>
- <img src="images/modeling_example_state_machine_3.png"/>
+ <img src="images/modeling_example_state_machine_3.png" />
</dd>
</dl>
<dl>
@@ -2763,7 +2867,7 @@
<dd>As from this variation on, task T<sub>2</sub> gets activated by an inter-process activation from task T<sub>1</sub> instead of being activated periodically. The interprocess activation is performed right after the message
<em>message</em> is written in T<sub>1</sub> and consequently before the runnable R<sub>1</sub> is called. That way, a direct connection between T<sub>1</sub> and T<sub>2</sub> is established.
<br>
- <img src="images/modeling_example_state_machine_4.png"/>
+ <img src="images/modeling_example_state_machine_4.png" />
</dd>
</dl>
<dl>
@@ -2772,7 +2876,7 @@
</dt>
<dd>As from this variation on, the periodicity of T<sub>1</sub> is shortened. For this, the value for the period of task T<sub>1</sub> is halved to 50 * 10<sup>6</sup>. That way, the utilization of the system is increased, which results in extinct activations.
<br>
- <img src="images/modeling_example_state_machine_5.png"/>
+ <img src="images/modeling_example_state_machine_5.png" />
</dd>
</dl>
<dl>
@@ -2781,7 +2885,7 @@
</dt>
<dd>As from this variation on, the maximum number of queued activation requests for both tasks is set to 2. That way, the problem with extinct activations resulting from the previous variation is solved.
<br>
- <img src="images/modeling_example_state_machine_6.png"/>
+ <img src="images/modeling_example_state_machine_6.png" />
</dd>
</dl>
<dl>
@@ -2790,7 +2894,7 @@
</dt>
<dd>As from this variation on, the execution time distribution is widened for both tasks. Therefore, the maximum of the uniform distribution is increased by 1 percent so that the uniform distribution varies now by 2 percent. That way, the utilization of the system is further increased.
<br>
- <img src="images/modeling_example_state_machine_7.png"/>
+ <img src="images/modeling_example_state_machine_7.png" />
</dd>
</dl>
<dl>
@@ -2799,7 +2903,7 @@
</dt>
<dd>For this variation, the data write accesses in task T<sub>1</sub> and task T<sub>2</sub> are omitted. Instead, the runnables R<sub>2,1</sub>, R<sub>2,2</sub>, and R<sub>2,3</sub>, each representing the execution of a specific state, are executed with a probability of 60 %, 30 %, and 10 % respectively. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_state_machine_8.png"/>
+ <img src="images/modeling_example_state_machine_8.png" />
</dd>
</dl>
<dl>
@@ -2808,7 +2912,7 @@
</dt>
<dd>For this variation, just task events are active. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_state_machine_9.png"/>
+ <img src="images/modeling_example_state_machine_9.png" />
</dd>
</dl>
@@ -2834,7 +2938,7 @@
<em>w</em> is 100. In addition to this feedback loop, other system architecture patterns are added to be executed concurrently in order to increase the complexity. The tasks T<sub>5</sub> and T<sub>6</sub> represent a client-server without reply and are equal to the tasks T<sub>1</sub> and T<sub>2</sub> respectively as described in the modeling example "Client-Server without Reply". T<sub>7</sub> is a periodically activated task without any communication and identical to task T<sub>7</sub> of modeling example "Purely Periodic without Communication".
</p>
<p>
- <img src="images/modeling_example_feedback_loop.png"/>
+ <img src="images/modeling_example_feedback_loop.png" />
</p>
<p>The table below gives a detailed specification of the tasks and their parameters. The tasks are scheduled according fixed-priority, preemptive scheduling and if not indicated otherwise, all events are active in order to get a detailed insight into the system's behavior.</p>
<table class="classic" style="text-align:center; background:#f8f8f8">
@@ -2885,7 +2989,7 @@
<td colspan="1" rowspan="9">3</td>
<td colspan="1" rowspan="9">FULL</td>
<td colspan="1" rowspan="9">1</td>
- <td colspan="1" rowspan="3"/>
+ <td colspan="1" rowspan="3" />
<td colspan="1" rowspan="3">R<sub>3,0</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2909,7 +3013,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Max = 100 * 10<sup>5</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="3"/>
+ <td colspan="1" rowspan="3" />
<td colspan="1" rowspan="3">R<sub>3,2</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2924,7 +3028,7 @@
<td colspan="1" rowspan="3">1</td>
<td colspan="1" rowspan="3">FULL</td>
<td colspan="1" rowspan="3">1</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="3">R<sub>4</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2933,7 +3037,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Min = 99 * 10<sup>5</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1" style="text-align: left;">Max = 100 * 10<sup>5</sup></td>
</tr>
<tr>
@@ -2958,7 +3062,7 @@
<td colspan="1" rowspan="15">4</td>
<td colspan="1" rowspan="15">FULL</td>
<td colspan="1" rowspan="15">1</td>
- <td colspan="1" rowspan="6"/>
+ <td colspan="1" rowspan="6" />
<td colspan="1" rowspan="3">R<sub>6,x</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -2992,7 +3096,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Max = 50 * 10<sup>3</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="6"/>
+ <td colspan="1" rowspan="6" />
<td colspan="1" rowspan="3">R<sub>6,3</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -3017,7 +3121,7 @@
<td colspan="1" rowspan="6">0</td>
<td colspan="1" rowspan="6">FULL</td>
<td colspan="1" rowspan="6">1</td>
- <td colspan="1" rowspan="2"/>
+ <td colspan="1" rowspan="2" />
<td colspan="1" rowspan="3">R<sub>7,1</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -3038,7 +3142,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Min = 19.8 * 10<sup>6</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1" style="text-align: left;">Max = 20 * 10<sup>6</sup></td>
</tr>
</table>
@@ -3049,7 +3153,7 @@
</dt>
<dd>For this variation, the tasks T<sub>1</sub>, T<sub>2</sub>, T<sub>3</sub>, and T<sub>4</sub> of the table above are active.
<br>
- <img src="images/modeling_example_feedback_loop_1.png"/>
+ <img src="images/modeling_example_feedback_loop_1.png" />
</dd>
</dl>
<dl>
@@ -3058,7 +3162,7 @@
</dt>
<dd>For this variation, the Tasks T<sub>1</sub>, T<sub>2</sub>, T<sub>3</sub>, T<sub>4</sub>, T<sub>5</sub>, and T<sub>6</sub> are active. That way the utilization of the system is increased.
<br>
- <img src="images/modeling_example_feedback_loop_2.png"/>
+ <img src="images/modeling_example_feedback_loop_2.png" />
</dd>
</dl>
<dl>
@@ -3067,7 +3171,7 @@
</dt>
<dd>As from this variation on, all tasks are active. That way the utilization of the system is increased.
<br>
- <img src="images/modeling_example_feedback_loop_3.png"/>
+ <img src="images/modeling_example_feedback_loop_3.png" />
</dd>
</dl>
<dl>
@@ -3077,7 +3181,7 @@
<dd>As from this variation on, task T<sub>2</sub> gets activated by an inter-process activation from task T<sub>1</sub>, task T<sub>3</sub> by an inter-process activation from task T<sub>2</sub>, and task T<sub>6</sub> by an inter-process activation from task T<sub>5</sub> instead of being activated periodically. The inter-process activation in task T<sub>1</sub> is performed right after the message
<em>u</em> is written in T<sub>2</sub> and consequently before the runnable R<sub>1</sub> is called, in task T<sub>2</sub> respectively right before task T<sub>4</sub> is activated, and in task T<sub>5</sub> task T<sub>6</sub> is called right before runnable R<sub>5</sub>. That way, a direct connection between these tasks is established.
<br>
- <img src="images/modeling_example_feedback_loop_4.png"/>
+ <img src="images/modeling_example_feedback_loop_4.png" />
</dd>
</dl>
<dl>
@@ -3086,7 +3190,7 @@
</dt>
<dd>As from this variation on, the periodicity of the tasks T<sub>1</sub>, T<sub>5</sub>, and T<sub>7</sub> are shortened. For task T<sub>1</sub>, the value for the period is set to 450 * 10<sup>6</sup>, the task T<sub>5</sub> to 60 * 10<sup>6</sup>, and for task T<sub>7</sub> to 575 * 10<sup>6</sup>. That way, the information density is increased.
<br>
- <img src="images/modeling_example_feedback_loop_5.png"/>
+ <img src="images/modeling_example_feedback_loop_5.png" />
</dd>
</dl>
<dl>
@@ -3095,7 +3199,7 @@
</dt>
<dd>As from this variation on, the execution time distribution is widened for both tasks. Therefore, the maximum of the uniform distribution is increased by 1 percent so that the uniform distribution varies now by 2 percent. That way, the utilization of the system is increased, which results in extinct activations.
<br>
- <img src="images/modeling_example_feedback_loop_6.png"/>
+ <img src="images/modeling_example_feedback_loop_6.png" />
</dd>
</dl>
<dl>
@@ -3104,7 +3208,7 @@
</dt>
<dd>As from this variation on, the maximum number of queued activation requests for both tasks is set to 2. That way, the problem with extinct activations resulting from the previous variation is solved.
<br>
- <img src="images/modeling_example_feedback_loop_7.png"/>
+ <img src="images/modeling_example_feedback_loop_7.png" />
</dd>
</dl>
<dl>
@@ -3113,7 +3217,7 @@
</dt>
<dd>For this variation, the data accesses in all tasks are omitted. Instead, the runnable entities R<sub>3,0</sub>, R<sub>3,1</sub>, and R<sub>3,2</sub>, are executed with a probability of 50 %, 30 %, and 20 % respectively, and the runnable entities R<sub>6,x</sub>, R<sub>6,1</sub>, R<sub>6,2</sub>, R<sub>6,3</sub>, and R<sub>6,4</sub> are executed with a probability of 15 %, 20 %, 30 %, 20 %, and 15 % respectively. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_feedback_loop_8.png"/>
+ <img src="images/modeling_example_feedback_loop_8.png" />
</dd>
</dl>
<dl>
@@ -3122,7 +3226,7 @@
</dt>
<dd>For this variation, just task events are active. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_feedback_loop_9.png"/>
+ <img src="images/modeling_example_feedback_loop_9.png" />
</dd>
</dl>
@@ -3130,7 +3234,7 @@
<h3><a id="section2.3.7">2.3.7 </a>Modeling Example "State Machine Feedback Loop"</h3>
<p>The task set of the modeling example "State Machine" is expanded further in this architecture pattern by combining the ideas behind the modeling example "State Machine" and "Feedback Loop". This means that messages are exchanged in a loop and each sender/receiver is also a state machine. To achieve this, task T<sub>1</sub> has two different internal states 0 and 1, and task T<sub>2</sub> manages three consecutive states 0, 1, and 2. The state task T<sub>1</sub> is currently in is sent via a message to task T<sub>2</sub> before runnable R<sub>1</sub> is called. If the content of the message sent from task T<sub>1</sub> is 1, task T<sub>2</sub> increases its internal state, e.g. from state 0 to 1, and if it is 0, task T<sub>2</sub> decreases its internal state accordingly. Then, depending on the state task T<sub>2</sub> is currently in, the according runnable (R<sub>2,0</sub> for state 0, etc.) is executed. If the maximum or minimum state of task T<sub>2</sub> is reached but the received message from task T<sub>1</sub> tells task T<sub>2</sub> to further increase or respectively decrease its internal state, task T<sub>2</sub> sends a message to task T<sub>1</sub>. This message then causes task T<sub>1</sub> to toggle its internal state which consequently results in a switch from increasing to decreasing or vice versa. In addition to this state machine feedback loop, other system architecture patterns are added to be executed concurrently in order to increase the complexity. The tasks T<sub>3</sub> and T<sub>4</sub> represent a client-server without reply and are equal to the tasks T<sub>1</sub> and T<sub>2</sub> respectively as described above in the modeling example "Client-Server without Reply". T<sub>5</sub> is a periodically activated task without any communication and identical to task T<sub>7</sub> in the modeling example "Purely Periodic without Communication".</p>
<p>
- <img src="images/modeling_example_state_machine_feedback_loop.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop.png" />
</p>
<p>The table below gives a detailed specification of the tasks and their parameters. The tasks are scheduled according fixed-priority, preemptive scheduling and if not indicated otherwise, all events are active in order to get a detailed insight into the system's behavior.</p>
<table class="classic" style="text-align:center; background:#f8f8f8">
@@ -3164,7 +3268,7 @@
<td colspan="1" rowspan="9">1</td>
<td colspan="1" rowspan="9">FULL</td>
<td colspan="1" rowspan="9">1</td>
- <td colspan="1" rowspan="3"/>
+ <td colspan="1" rowspan="3" />
<td colspan="1" rowspan="3">R<sub>2,0</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -3188,7 +3292,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Max = 100 * 10<sup>3</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="3"/>
+ <td colspan="1" rowspan="3" />
<td colspan="1" rowspan="3">R<sub>2,2</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -3220,7 +3324,7 @@
<td colspan="1" rowspan="15">3</td>
<td colspan="1" rowspan="15">FULL</td>
<td colspan="1" rowspan="15">1</td>
- <td colspan="1" rowspan="6"/>
+ <td colspan="1" rowspan="6" />
<td colspan="1" rowspan="3">R<sub>4,x</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -3254,7 +3358,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Max = 50 * 10<sup>3</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="6"/>
+ <td colspan="1" rowspan="6" />
<td colspan="1" rowspan="3">R<sub>4,3</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -3279,7 +3383,7 @@
<td colspan="1" rowspan="6">0</td>
<td colspan="1" rowspan="6">FULL</td>
<td colspan="1" rowspan="6">1</td>
- <td colspan="1" rowspan="2"/>
+ <td colspan="1" rowspan="2" />
<td colspan="1" rowspan="3">R<sub>5,1</sub></td>
<td colspan="1" rowspan="1">Uniform</td>
</tr>
@@ -3300,7 +3404,7 @@
<td colspan="1" rowspan="1" style="text-align: left;">Min = 19.8 * 10<sup>6</sup></td>
</tr>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1" style="text-align: left;">Max = 20 * 10<sup>6</sup></td>
</tr>
</table>
@@ -3311,7 +3415,7 @@
</dt>
<dd>For this variation, the tasks T<sub>1</sub>, and T<sub>2</sub> of the table above are active.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_1.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_1.png" />
</dd>
</dl>
<dl>
@@ -3320,7 +3424,7 @@
</dt>
<dd>For this variation, the tasks T<sub>1</sub>, T<sub>2</sub>, T<sub>3</sub>, and T<sub>4</sub> are active. That way the utilization of the system is increased.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_2.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_2.png" />
</dd>
</dl>
<dl>
@@ -3329,7 +3433,7 @@
</dt>
<dd>As from this variation on, all tasks are active. That way the utilization of the system is increased.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_3.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_3.png" />
</dd>
</dl>
<dl>
@@ -3338,7 +3442,7 @@
</dt>
<dd>As from this variation on, task T<sub>2</sub> gets activated by an inter-process activation from task T<sub>1</sub>, and task T<sub>4</sub> by an inter-process activation from task T<sub>3</sub> instead of being activated periodically. The inter-process activation in task T<sub>1</sub> is performed right after the message to task T<sub>2</sub> is written and consequently before the runnable R<sub>1</sub> is called, and in task T<sub>3</sub> task T<sub>4</sub> is called right before runnable R<sub>3</sub>. That way, a direct connection between these tasks is established.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_4.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_4.png" />
</dd>
</dl>
<dl>
@@ -3347,7 +3451,7 @@
</dt>
<dd>As from this variation on, the periodicity of the tasks T<sub>1</sub>, T<sub>3</sub>, and T<sub>5</sub> are shortened. For task T<sub>1</sub>, the value for the period is set to 220 * 10<sup>6</sup>, the task T<sub>3</sub> to 50 * 10<sup>6</sup>, and for task T<sub>5</sub> to 500 * 10<sup>6</sup>. That way, the information density is increased.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_5.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_5.png" />
</dd>
</dl>
<dl>
@@ -3356,7 +3460,7 @@
</dt>
<dd>As from this variation on, the execution time distribution is widened for both tasks. Therefore, the maximum of the uniform distribution is increased by 1 percent so that the uniform distribution varies now by 2 percent. That way, the utilization of the system is increased, which results in extinct activations.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_6.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_6.png" />
</dd>
</dl>
<dl>
@@ -3365,7 +3469,7 @@
</dt>
<dd>As from this variation on, the maximum number of queued activation requests for both tasks is set to 2. That way, the problem with extinct activations resulting from the previous variation is solved.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_7.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_7.png" />
</dd>
</dl>
<dl>
@@ -3374,7 +3478,7 @@
</dt>
<dd>For this variation, the data accesses in all tasks are omitted. Instead, all runnablea representing a state are executed equally random, meaning the runnables R<sub>2,0</sub>, R<sub>2,1</sub>, and R<sub>2,2</sub> are each executed with a probability of 33 %, and the runnables R<sub>4,x</sub>, R<sub>4,1</sub>, R<sub>4,2</sub>, R<sub>4,3</sub>, and R<sub>4,4</sub> each with a probability of 20 %. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_8.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_8.png" />
</dd>
</dl>
<dl>
@@ -3383,7 +3487,7 @@
</dt>
<dd>For this variation, just task events are active. That way, only a limited insight into the system's runtime behavior is available.
<br>
- <img src="images/modeling_example_state_machine_feedback_loop_9.png"/>
+ <img src="images/modeling_example_state_machine_feedback_loop_9.png" />
</dd>
</dl>
@@ -3426,7 +3530,7 @@
<strong>Example 1: Simple_ECU</strong>
</p>
<p>
- <img class="scale" src="images/example_hw_example_1_diagram.png"/>
+ <img class="scale" src="images/example_hw_example_1_diagram.png" />
</p>
<p>The example shows a single structure with two identical cores with such an Instruction per cycle feature. The model includes only one frequency domain and no power domain. Each core is connected to all three different memory units via a
<em>HwAccessElement</em> with read and write latencies. The memory components include an access latency. This means the total latency for a read and a write access are calculated in the following way:
@@ -3438,13 +3542,13 @@
</p>
<p>This example shows a very simple hardware modeling approach where no interconnects and ports are necessary. Such a model can be used in a very early design phase where only rough estimations or a limited amount of informations about the system are available.</p>
<p>
- <img src="images/example_hw_example_1_editor.png"/>
+ <img src="images/example_hw_example_1_editor.png" />
</p>
<p>
<strong>Example 2: Simple_E_E_Architecture</strong>
</p>
<p>
- <img class="scale" src="images/example_hw_example_2_diagram.png"/>
+ <img class="scale" src="images/example_hw_example_2_diagram.png" />
</p>
<p>The second example shows a simple E/E-Architecture out of two identical ECUs. Each ECU contains two cores, one interconnect and a memory component. Both ECUs are connected via a CAN-Bus. In this example both possibilities for a
<em>HwAccessElement</em> are shown. The local memory is just connected with read and write latencies and the external memory of the other ECU is connected with the help of a
@@ -3461,14 +3565,14 @@
<br>The hierarchical ports from both ECUs to connect the CAN Bus with the ECUs as block boxes are not mandatory but recommended. This concept of hierarchical ports increases the number of HwConnections but allows also the structuring of all internal modules within a HwStructure and only connect the hierarchical ports with the rest of the system.
</p>
<p>
- <img src="images/example_hw_example_2_editor.png"/>
+ <img src="images/example_hw_example_2_editor.png" />
</p>
<h3><a id="section2.3.10">2.3.10 </a>Scheduler Examples</h3>
<p>The following elements are used to illustrate the structure of the example schedulers:</p>
<p>
- <img src="images/example_scheduler_legend.png"/>
+ <img src="images/example_scheduler_legend.png" />
</p>
@@ -3480,7 +3584,7 @@
<strong>OSEK</strong> subsystems then decide on a FPP basis, which task can run. The coreAffinity for the tasks is not needed, since their scheduler is only responsible for one core.
</p>
<p>
- <img src="images/example_scheduler_hierarchical.png"/>
+ <img src="images/example_scheduler_hierarchical.png" />
</p>
@@ -3491,7 +3595,7 @@
<strong>CoreB</strong>.
</p>
<p>
- <img src="images/example_scheduler_partitioned_fpp.png"/>
+ <img src="images/example_scheduler_partitioned_fpp.png" />
</p>
@@ -3507,13 +3611,13 @@
<h4><a id="section2.3.11.1"></a>Example description</h4>
<p>In this chapter, we show a small example how to use modes to steer the execution and the activation of tasks with modes. The following picture depicts the example:</p>
<p>
- <img src="images/example_numeric_modes.png" style="width:750px"/>
+ <img src="images/example_numeric_modes.png" style="width:750px" />
</p>
<p>In this example, we have three modes, one _Enum__ and two
<i>Numeric</i>. The numeric modes are initialized with the value -1:
</p>
<p>
- <img src="images/example_numeric_modes_modes.png"/>
+ <img src="images/example_numeric_modes_modes.png" />
</p>
<p>First, we have two data generators with Task
<i>genX</i> and Task
@@ -3522,7 +3626,7 @@
<i>genX</i>:
</p>
<p>
- <img src="images/example_numeric_modes_gen-x.png"/>
+ <img src="images/example_numeric_modes_gen-x.png" />
</p>
<p>On every execution, the generator tasks trigger the
<i>CustomEvent</i>
@@ -3536,7 +3640,7 @@
<i>executionMode</i> to keep the model simpler. This mode could be changed e.g. from within the system or by an external ISR trigger.
</p>
<p>
- <img src="images/example_numeric_modes_event-stimuli.png"/>
+ <img src="images/example_numeric_modes_event-stimuli.png" />
</p>
<p>If this condition is true, both counting modes are set to zero and the Task
<i>doA</i> is called.
@@ -3545,13 +3649,13 @@
<i>doB</i> the mode check is done at task level as depicted in the following picture:
</p>
<p>
- <img src="images/example_numeric_modes_do-b.png"/>
+ <img src="images/example_numeric_modes_do-b.png" />
</p>
<p>Only if the condition is true runnable
<i>runB</i> is called. Within this runnable the counting modes are decremented by 3.
</p>
<p>
- <img src="images/example_numeric_modes_runn-b.png"/>
+ <img src="images/example_numeric_modes_runn-b.png" />
</p>
<p>The last mechanisms is also possible at runnable level by using the
<i>runnableModeSwitch</i>.
@@ -3572,7 +3676,7 @@
<strong>Step 1</strong>
</p>
<p>
- <img src="images/amalthea_trace_db_example.png"/>
+ <img src="images/amalthea_trace_db_example.png" />
</p>
<p>The figure above shows content of "Amalthea_ArExampleEngine.atdb", an AMALTHEA Trace database provided with the "Democar Example".
<br>To get this file create a new example project (see "Creating an example"), based on the "Democar Example".
@@ -3581,7 +3685,7 @@
<strong>Step 2</strong>
</p>
<p>
- <img src="images/amalthea_import_options.png"/>
+ <img src="images/amalthea_import_options.png" />
</p>
<p>Right-click on the project folder "org.eclipse.app4mc.amalthea.example.democar" or any other. You will see several possible options. In that option menu press "Import..." then.
<br>This will open a dialogue where the different import options available are listed. Open the folder called "AMALTHEA" by clicking on cross next to the title. This is shown in the figure above.
@@ -3590,14 +3694,14 @@
<strong>Step 3</strong>
</p>
<p>
- <img src="images/atdb_import_dialogue.png"/>
+ <img src="images/atdb_import_dialogue.png" />
</p>
<p>Next, choose mark the option "From AMALTHEA Trace DB" by clicking on it and proceed to the next page by either double-clicking the option name or by pressing the "Next" button. There you are prompted to enter the location of the ATDB file you want to import. Click the upper "Browse..." button to navigate your file system and select the wanted file. If you want to change the target project the model will be created in press the lower "Browse..." button and make your choice. The figure above shows an example input.</p>
<p>
<strong>Step 4</strong>
</p>
<p>
- <img src="images/atdb_import_result.png"/>
+ <img src="images/atdb_import_result.png" />
</p>
<p>After you have made all required inputs, click on "Finish". This will start the analysis of the database. Once the model creation is done the dialogue will close and the newly created amxmi file opened on the AMALTHEA Model editor as shown in the figure above.</p>
@@ -3608,10 +3712,10 @@
<h3><a id="section2.5.1">2.5.1 </a>AMALTHEA Trace Database Metrics Viewer</h3>
<p>This is a simple viewer that shows how to access the AMALTHEA trace database.</p>
<p>
- <img src="images/metric-viewer_open.png"/>
+ <img src="images/metric-viewer_open.png" />
</p>
<p>
- <img src="images/metric-viewer_table.png"/>
+ <img src="images/metric-viewer_table.png" />
</p>
@@ -3632,13 +3736,13 @@
<i>representations.aird</i> is created at top level of the project. This file is containing the user created diagrams.
</p>
<p>
- <img src="images/sirius_convert_project.png"/>
+ <img src="images/sirius_convert_project.png" />
</p>
<p>Activate the AMALTHEA viewpoint by right click on the project and select
<strong>Viewpoint Selection</strong>.
</p>
<p>
- <img src="images/sirius_viewpoints_selection.png"/>
+ <img src="images/sirius_viewpoints_selection.png" />
</p>
<p>
<b>Note:</b> Using one of the available commands to open a view using a right click on an element automatically adds the Modeling Nature and selects the available AMALTHEA viewpoint.
@@ -3655,13 +3759,13 @@
<i>Task View</i>.
</p>
<p>
- <img src="images/sirius_task_view_create.png"/>
+ <img src="images/sirius_task_view_create.png" />
</p>
<p>A new diagram is shown based on the given
<i>Task</i> element.
</p>
<p>
- <img src="images/sirius_task_view_1.png"/>
+ <img src="images/sirius_task_view_1.png" />
</p>
@@ -3675,11 +3779,11 @@
</ol>
<p>Enable it through the Layers option menu.</p>
<p>
- <img src="images/sirius_task_view_comm_layer_enable.png"/>
+ <img src="images/sirius_task_view_comm_layer_enable.png" />
</p>
<p>In this sample some of the available communications are fulfilling this requirement.</p>
<p>
- <img src="images/sirius_task_view_comm_layer_show1.png"/>
+ <img src="images/sirius_task_view_comm_layer_show1.png" />
</p>
@@ -3690,11 +3794,11 @@
</p>
<p>Enable it through the Layers option menu.</p>
<p>
- <img src="images/sirius_task_view_label_layer_enable.png"/>
+ <img src="images/sirius_task_view_label_layer_enable.png" />
</p>
<p>After some arrangement it can look like the following:</p>
<p>
- <img src="images/sirius_task_view_label_layer_show.png"/>
+ <img src="images/sirius_task_view_label_layer_show.png" />
</p>
@@ -3708,13 +3812,13 @@
<i>Label View</i>.
</p>
<p>
- <img src="images/sirius_label_view_create.png"/>
+ <img src="images/sirius_label_view_create.png" />
</p>
<p>A new diagram is shown based on the given
<i>Label</i> element.
</p>
<p>
- <img src="images/sirius_label_view_1.png"/>
+ <img src="images/sirius_label_view_1.png" />
</p>
@@ -3734,7 +3838,7 @@
<i>Event Chain View</i>.
</p>
<p>
- <img src="images/sirius_event_chain_view_create.png"/>
+ <img src="images/sirius_event_chain_view_create.png" />
</p>
<p>A new diagram is opening showing the order of the included
<i>Events</i>.
@@ -3744,7 +3848,7 @@
<i>EventType</i>.
</p>
<p>
- <img src="images/sirius_event_chain_view_show.png"/>
+ <img src="images/sirius_event_chain_view_show.png" />
</p>
@@ -3773,10 +3877,10 @@
<i>Communication Layer</i>.
</p>
<p>
- <img src="images/sirius_tasks_view_create.png"/>
+ <img src="images/sirius_tasks_view_create.png" />
</p>
<p>
- <img src="images/sirius_tasks_view_show.png"/>
+ <img src="images/sirius_tasks_view_show.png" />
</p>
@@ -3802,21 +3906,142 @@
<li>Change the name if needed and click on ok.</li>
</ul>
<p>
- <img src="images/sirius_mapping_view_create.png"/>
+ <img src="images/sirius_mapping_view_create.png" />
</p>
<p>
- <img src="images/sirius_mapping_view_show.png"/>
+ <img src="images/sirius_mapping_view_show.png" />
</p>
-<h2><a id="section2.6">2.6 </a>Model Validation</h2>
+<h2><a id="section2.6">2.6 </a>Model Visualization</h2>
-<h3><a id="section2.6.1">2.6.1 </a>Usage of AMALTHEA Model Validation</h3>
+<h3><a id="section2.6.1">2.6.1 </a>Usage of AMALTHEA Model Visualization</h3>
+ <p>The AMALTHEA Visualization can be opened via</p>
+ <ul>
+ <li>
+ <i>Window → Show View → Other... → APP4MC → APP4MC Visualizations</i>,
+ </li>
+ <li> or via right click on an element and selecting
+ <i>Open APP4MC Visualization</i>.
+ </li>
+ </ul>
+ <p>Via the context menu it is also possible to open multiple visualization views.</p>
+ <p>On selecting a model element, the view will render a corresponding visualization. If multiple visualizations are available, the first one will be selected by default, unless the user has selected another visualization before.</p>
+ <p>The visualization view has 3 buttons in the toolbar:</p>
+ <ol>
+ <li>
+ <b>Visualization dropdown</b><br>The dropdown contains all available visualizations for the current active selection. A click on the image will reload the visualization.
+ </li>
+ <li>
+ <b>Pin visualization</b><br>The selection handling will be disabled so the visualization gets not updated on model selection changes.
+ </li>
+ <li>
+ <b>Select model element</b><br>Selects the current visualized model element in the model editor. Useful for example if a visualization is pinned and the selection in the model editor changed.
+ </li>
+ </ol>
+ <p>
+ <img src="images/visualization-view.png" />
+ </p>
+
+
+<h3><a id="section2.6.2">2.6.2 </a>Standard Visualizations</h3>
+ <p>APP4MC comes with a set of default model visualizations to show the options and possibilities the visualization framework provides.</p>
+
+
+<h4><a id="section2.6.2.1"></a>Hardware Model</h4>
+ <ul>
+ <li>
+ <ins>HW Model Block Diagram</ins><br><br>This visualization is intended to provide an overview of the described and used hardware within the system.<br><br>It uses PlantUML and SVG for rendering. Therefore a Graphviz dot.exe needs to be configured via
+ <i>Window – Preferences – PlantUML – Path to the dot executable of Graphviz</i> in order to get the result shown.<br><br>
+ <img src="images/hwmodel_hwblockdiagram.png" />
+ </li>
+ </ul>
+
+
+<h4><a id="section2.6.2.2"></a>Software Model</h4>
+ <ul>
+ <li>
+ <ins>SWModel Statistics Visualization</ins><br><br>This is a simple visualization that shows some statistics on the selected Software Model. It is also a simple example to show how to implement a visualization with JavaFX and some animations.<br><br>
+ <img src="images/swmodel_statistics.png" /><br><br>
+ </li>
+ </ul>
+ <ul>
+ <li>
+ <ins>Shared Runnable Label Dependencies</ins><br><br>This visualization paints all
+ <i>Runnables</i> and the read/write dependencies on
+ <i>Labels</i> in a Software Model.<br>Via the buttons on the left edge you can
+ <i>Zoom in (+) / Zoom out (-) / Filter (F)</i> the currently visible
+ <i>Runnables</i>.<br><br>
+ <img src="images/swmodel_label_dependencies.png" />
+ </li>
+ </ul>
+
+
+<h4><a id="section2.6.2.3"></a>Runnable</h4>
+ <ul>
+ <li>
+ <ins>LabelAccess View</ins><br><br>A simple visualization of a
+ <i>Runnable</i> and its
+ <i>Label</i> read/write access. On the left side the
+ <i>Labels</i> are rendered that are accessed for a read operation. On the right side the
+ <i>Labels</i> are rendered that are accessed for a write operation.<br><br>
+ <img src="images/runnable_labelaccess.png" /><br><br>
+ </li>
+ </ul>
+ <ul>
+ <li>
+ <ins>Shared Runnable Label Dependencies</ins><br><br>Visualization of all selected
+ <i>Runnables</i> and their relationships based on
+ <i>Labels</i>. This visualization is an example to verify how to implement a visualization on multi-selection.<br>Via the buttons on the left edge you can
+ <i>Zoom in (+) / Zoom out (-) / Filter (F)</i> the currently visible
+ <i>Runnables</i>.<br><br>
+ <img src="images/runnable_sharedlabels.png" /><br><br>
+ </li>
+ </ul>
+ <ul>
+ <li>
+ <ins>Runnable Label Dependencies</ins><br><br>This visualization shows the current selected
+ <i>Runnable</i> and the
+ <i>Runnables</i> that have a direct dependency via
+ <i>Labels</i>. On the left side the
+ <i>Runnables</i> are rendered that
+ <ins>write</ins> to
+ <i>Labels</i> that are read by the selected
+ <i>Runnable</i>. On the right side the
+ <i>Runnables</i> are rendered that
+ <ins>read</ins> from
+ <i>Labels</i> that were modified by the selected
+ <i>Runnable</i>.<br>Via the buttons on the left edge you can
+ <i>Zoom in (+) / Zoom out (-)</i> the currently visible
+ <i>Runnables</i>.<br><br>
+ <img class="scale" src="images/runnable_labeldependencies.png" />
+ </li>
+ </ul>
+
+
+<h4><a id="section2.6.2.4"></a>Deviation</h4>
+ <ul>
+ <li>
+ <ins>Probability Density Diagram</ins><br><br>This visualization provides probability density diagrams for all subclasses of<br> - IContinuousValueDeviation<br> - IDiscreteValueDeviation<br> - ITimeDeviation<br><br>Markers (vertical lines) are shown for lower bound, upper bound and average.<br><br>Changed values in the Properties view lead to an update of the diagram.<br><br>
+ <img src="images/deviation_boundaries.png" />
+ <img src="images/deviation_statistics.png" />
+ <img src="images/deviation_histogram.png" />
+ <img src="images/deviation_gauss.png" />
+ <img src="images/deviation_beta.png" />
+ <img src="images/deviation_weibull.png" />
+ </li>
+ </ul>
+
+
+<h2><a id="section2.7">2.7 </a>Model Validation</h2>
+
+
+<h3><a id="section2.7.1">2.7.1 </a>Usage of AMALTHEA Model Validation</h3>
<p>The AMALTHEA model validation can be triggered by clicking on the "Validate" button of the Amalthea editor.</p>
<p>All elements of the model are included for validation. In the next window the list of profiles appears allowing the selection of specific validations.</p>
<p>
- <img src="images/profile_selection_dialog.png"/>
+ <img src="images/profile_selection_dialog.png" />
</p>
<p>If an error is found, it is shown in the Problems view of Eclipse. A simple double click on the error will lead you to the affected elements in the AMALTHEA model. The validation distinguishes between three error types:
<i>errors</i>,
@@ -3825,13 +4050,13 @@
</p>
-<h2><a id="section2.7">2.7 </a>Model Migration</h2>
+<h2><a id="section2.8">2.8 </a>Model Migration</h2>
-<h3><a id="section2.7.1">2.7.1 </a>AMALTHEA Model Migration</h3>
+<h3><a id="section2.8.1">2.8.1 </a>AMALTHEA Model Migration</h3>
-<h4><a id="section2.7.1.1"></a>Why model migration is required ?</h4>
+<h4><a id="section2.8.1.1"></a>Why model migration is required ?</h4>
<p>EMF based models are the instances of ECORE meta model (which is updated for each release). </p>
<p>As there is a tight dependency between model instance and the corresponding meta model, old EMF models can not be loaded with the newer release of meta model.</p>
<blockquote>
@@ -3840,7 +4065,7 @@
<p>This problem can be solved by explicitly migrating the model files from the prior versions to be compatible to the latest meta model version</p>
-<h4><a id="section2.7.1.2"></a>AMALTHEA model migration</h4>
+<h4><a id="section2.8.1.2"></a>AMALTHEA model migration</h4>
<p>As described above, same scenario is also applicable for AMALTHEA models as they are instances of EMF based AMALTHEA ECORE meta model.</p>
<p>For each release of AMALTHEA there will be changes in the meta model contents, due to this it is not possible to load models built from previous releases of AMALTHEA into latest tool distribution.</p>
<p>
@@ -3851,7 +4076,7 @@
</p>
<table>
<tr>
- <th colspan="1" rowspan="1"/>
+ <th colspan="1" rowspan="1" />
</tr>
<tr style="background:#ddd">
<td colspan="1" rowspan="1">
@@ -3861,7 +4086,7 @@
</td>
</tr>
<tr>
- <th colspan="1" rowspan="1"/>
+ <th colspan="1" rowspan="1" />
</tr>
<tr style="background:#ddd">
<td colspan="1" rowspan="1">If there are Amalthea models belonging to legacy versions ITEA "1.0.3 or 1.1.0 or 1.1.1", use one of the APP4MC version till 0.9.2 and convert the models into one of the APP4MC model version. <br> - These models can be used as input for model migration to next versions of APP4MC Amalthea model</td>
@@ -3869,7 +4094,7 @@
</table>
-<h3><a id="section2.7.2">2.7.2 </a>Supported versions for model Migration</h3>
+<h3><a id="section2.8.2">2.8.2 </a>Supported versions for model Migration</h3>
<p>Model migration functionality provides a possibility to migrate the models (
<em>created from previous releases of AMALTHEA</em> ) to the latest versions
</p>
@@ -3892,7 +4117,7 @@
<p>Model migration utility migrates the specified model sequentially to the next versions (step by step) till expected version is reached.</p>
<table>
<tr>
- <th colspan="1" rowspan="1"/>
+ <th colspan="1" rowspan="1" />
</tr>
<tr style="background:#ddd">
<td colspan="1" rowspan="1">
@@ -3904,14 +4129,14 @@
</table>
<p>Below figure represents the steps involved in the migration of model from 0.7.0 version to APP4MC 0.8.1 version:</p>
<p>
- <img class="scale" src="images/migration_flow.png"/>
+ <img class="scale" src="images/migration_flow.png" />
</p>
-<h3><a id="section2.7.3">2.7.3 </a>Pre-requisites for AMALTHEA model migration</h3>
+<h3><a id="section2.8.3">2.8.3 </a>Pre-requisites for AMALTHEA model migration</h3>
-<h4 id="migration-vm-args"><a id="section2.7.3.1"></a>VM arguments</h4>
+<h4 id="migration-vm-args"><a id="section2.8.3.1"></a>VM arguments</h4>
<p>Default max heap memory (Xmx) used by the APP4MC distribution is 2 GB. In case of migrating huge models, it is recommended to increase this memory to 4 GB before invocation of "AMALTHEA Model Migration" feature</p>
<p>Follow the below steps to increase the heap memory setting of APP4MC :</p>
<ul>
@@ -3923,10 +4148,10 @@
</em>)
</li>
</ul>
- <img class="gray_scale" src="images/vm_arguments_configuration.png"/>
+ <img class="gray_scale" src="images/vm_arguments_configuration.png" />
-<h4 id="migration-linked-files"><a id="section2.7.3.2"></a>Linked files in eclipse project (virtual files)</h4>
+<h4 id="migration-linked-files"><a id="section2.8.3.2"></a>Linked files in eclipse project (virtual files)</h4>
<p>In case you want to have linked files in eclipse project, during the drag and drop of the files select
<strong>"Link to files"</strong> option in
<em>
@@ -3936,16 +4161,16 @@
<strong>create link locations relative to</strong>
</em> option
</p>
- <img class="gray_scale" src="images/linked_files_creation.png"/>
+ <img class="gray_scale" src="images/linked_files_creation.png" />
-<h3><a id="section2.7.4">2.7.4 </a>How to invoke AMALTHEA model migration</h3>
+<h3><a id="section2.8.4">2.8.4 </a>How to invoke AMALTHEA model migration</h3>
-<h4><a id="section2.7.4.1"></a>Simple migration</h4>
+<h4><a id="section2.8.4.1"></a>Simple migration</h4>
<p>An attempt to open an older model file in the model editor will show the following dialog.</p>
<p>
- <img src="images/file_open_dialog.png"/>
+ <img src="images/file_open_dialog.png" />
</p>
<p>The default button will simply migrate the selected file ...</p>
<ul>
@@ -3955,7 +4180,7 @@
</ul>
-<h4><a id="section2.7.4.2"></a>Migration dialog</h4>
+<h4><a id="section2.8.4.2"></a>Migration dialog</h4>
<p>AMALTHEA model migration utility is developed as a eclipse plugin and it is part of APP4MC distribution (
<em>from release 0.7.0</em>)
</p>
@@ -3966,7 +4191,7 @@
</li>
</ul>
<p>
- <img class="gray_scale" src="images/models_selection.png"/>
+ <img class="gray_scale" src="images/models_selection.png" />
</p>
<ul>
<li>
@@ -3985,7 +4210,7 @@
</ol>
<p>Once the above information is successfully retrieved, following Model Migration dialog is opened:</p>
<p>
- <img class="gray_scale" src="images/migration_dialog.png"/>
+ <img class="gray_scale" src="images/migration_dialog.png" />
</p>
<p>Model Migration dialog consists of following information:</p>
<ol>
@@ -3995,7 +4220,7 @@
<strong>
<em>Note:</em>
</strong> In case if the selected/referred models are having the different AMALTHEA model versions, migration can not be proceeded and the following error dialog is displayed <br>
- <img class="gray_scale" src="images/different_model_versions.png"/> </div>
+ <img class="gray_scale" src="images/different_model_versions.png" /> </div>
</li>
<li>Input model version : This is the AMALTHEA model version to which both selected & referred models are belonging to</li>
<li>Output model version : This is the AMALTHEA model version to which both selected & referred models should be migrated to</li>
@@ -4009,7 +4234,7 @@
<p>Once the required parameters are configured in the model migration dialog, click on "Migrate Models" button in the dialog to invoke migration.</p>
-<h3><a id="section2.7.5">2.7.5 </a>Additional details</h3>
+<h3><a id="section2.8.5">2.8.5 </a>Additional details</h3>
<p>For details regarding the below topics, refer to the corresponding links:</p>
<ol>
<li>
@@ -4021,7 +4246,7 @@
</ol>
-<h2><a id="section2.8">2.8 </a>Model Loading (Amalthea "no-load" nature)</h2>
+<h2><a id="section2.9">2.9 </a>Model Loading (Amalthea "no-load" nature)</h2>
<p>Use case for having "Amalthea no-load nature" is to avoid loading of Amalthea models present inside a project in certain cases like: </p>
<ul>
<li>File operations in workspace
@@ -4032,38 +4257,38 @@
</ul>
-<h3><a id="section2.8.1">2.8.1 </a>How to add Amalthea "no-load" nature to the project?</h3>
+<h3><a id="section2.9.1">2.9.1 </a>How to add Amalthea "no-load" nature to the project?*</h3>
<p>Nature can be added by following the steps shown in the below screenshot</p>
<p>
- <img src="images/no-load-nature-add.png"/>
+ <img src="images/no-load-nature-add.png" />
</p>
<blockquote>
<p>By adding this nature, Amalthea model loader will be de-activated and Amalthea model editor can not be opened in this case</p>
</blockquote>
-<h3><a id="section2.8.2">2.8.2 </a>How to identify if Amalthea "no-load" nature is added to the project?</h3>
+<h3><a id="section2.9.2">2.9.2 </a>How to identify if Amalthea "no-load" nature is added to the project?*</h3>
<p>If Amalthea "no-load" nature is added to the project, in the Model Explorer,there is a decorator icon and a suffix is added to the project as shown below:</p>
<p>
- <img src="images/no-load-nature-active.png"/>
+ <img src="images/no-load-nature-active.png" />
</p>
-<h3><a id="section2.8.3">2.8.3 </a>If Amalthea "no-load" nature is added, can I still load Amalthea model files using a java program explicitly?</h3>
+<h3><a id="section2.9.3">2.9.3 </a>If Amalthea "no-load" nature is added, can I still load Amalthea model files using a java program explicitly?*</h3>
<p>Yes !!</p>
<p>By adding Amalthea "no-load" nature, only automatic model loading is disabled as a part of eclipse workspace build, user can explicitly load Amalthea model by using API's </p>
-<h3><a id="section2.8.4">2.8.4 </a>How to remove Amalthea "no-load" nature from the project?</h3>
+<h3><a id="section2.9.4">2.9.4 </a>How to remove Amalthea "no-load" nature from the project?*</h3>
<p>One can explicitly remove the nature by following the steps as shown in the below screenshot</p>
<p>
- <img src="images/no-load-nature-remove_1.png"/>
+ <img src="images/no-load-nature-remove_1.png" />
</p>
<p>
<strong>Other option:</strong> If the user tries to open a Amalthea model file, a dialog box opens up as shown below and from here as well user can remove the Amalthea "no-load" nature from the project
</p>
<p>
- <img src="images/no-load-nature-remove_2.png"/>
+ <img src="images/no-load-nature-remove_2.png" />
</p>
</article>
@@ -4075,7 +4300,7 @@
<h2><a id="section3.1">3.1 </a>Model Overview</h2>
<p>The AMALTHEA data models are related to the activities in a typical design flow. The focus is on design, implementation and optimization of software for multicore systems. The data exchange between the activities is supported by the two main models of AMALTHEA, the System-Model and the Trace-Model.</p>
<p>
- <img src="images/amalthea_models_actions.png"/>
+ <img src="images/amalthea_models_actions.png" />
</p>
<p>
<strong>Modeling</strong>
@@ -4103,14 +4328,14 @@
</p>
<p>A simplified picture shows the main purpose of the models.</p>
<p>
- <img src="images/amalthea_models.png" style="width: 500px"/>
+ <img src="images/amalthea_models.png" style="width: 500px" />
</p>
<p>The open AMALTHEA models allow custom tooling, interoperability of tools and the combination of different simulation or execution environments.</p>
<h3><a id="section3.1.1">3.1.1 </a>AMALTHEA System Model</h3>
<p>
- <img src="images/amalthea_system_model.png" style="width: 400px"/>
+ <img src="images/amalthea_system_model.png" style="width: 400px" />
</p>
<p>The System Model contains:</p>
<p>
@@ -4150,7 +4375,7 @@
<p>We also try to use ticks wherever possible instead of direct time information. This has advantages in a multi-core environment, as the cores could have different clock frequencies.</p>
<p>The following figure shows the different logical parts of the AMALTHEA data model and how they are referencing each other. The central AMALTHEA model and common model that contains reusable elements are drawn without connections in this diagram.</p>
<p>
- <img src="images/model_dependencies.png"/>
+ <img src="images/model_dependencies.png" />
</p>
@@ -4164,7 +4389,7 @@
<i>CustomProperties</i> can be used to store this type of information. It also provides the possibility to work with prototypical approaches that later (if established and more stable) can be integrated in the standard model.
</p>
<p>
- <img src="images/model_common_custom_property.png"/>
+ <img src="images/model_common_custom_property.png" />
</p>
<p>The elements are stored in a
<i>HashMap</i>. The values can be of different types as shown in the structure picture, like String, Integer, Boolean...
@@ -4175,7 +4400,7 @@
<i>ListObject</i> can be used to store multi-valued custom properties.
</p>
<p>
- <img class="scale" src="images/model_common_custom_property_value.png"/>
+ <img class="scale" src="images/model_common_custom_property_value.png" />
</p>
@@ -4189,13 +4414,13 @@
<br>To support different time ranges, especially different time units, AMALTHEA predefines these types like seconds, milli-seconds, micro-seconds, nano-seconds or pico-seconds.
</p>
<p>
- <img class="scale" src="images/model_common_time.png"/>
+ <img class="scale" src="images/model_common_time.png" />
</p>
<h3><a id="section3.2.3">3.2.3 </a>Frequency (and Frequency Unit)</h3>
<p>
- <img class="scale" src="images/model_common_frequency.png"/>
+ <img class="scale" src="images/model_common_frequency.png" />
</p>
@@ -4327,20 +4552,20 @@
<br>It is internally converted and can be retrieved in both ways.
</p>
<p>
- <img class="scale" src="images/model_common_data_size.png"/>
+ <img class="scale" src="images/model_common_data_size.png" />
</p>
<h3><a id="section3.2.5">3.2.5 </a>Data Rate (and Data Rate Unit)</h3>
<p>
- <img class="scale" src="images/model_common_data_rate.png"/>
+ <img class="scale" src="images/model_common_data_rate.png" />
</p>
<h3><a id="section3.2.6">3.2.6 </a>Deviation</h3>
<p>Deviations used to model constant values, histograms and statistical distributions within AMALTHEA. There is a wide variety of possible use cases, where such a distribution is needed. For example, the variation in runtime of functions can be imitated. Therefore, AMALTHEA currently supports the following statistical distributions:</p>
<p>
- <img class="scale" src="images/model_common_deviations_abstract.png"/>
+ <img class="scale" src="images/model_common_deviations_abstract.png" />
</p>
<p>The earlier implementation used Generics to support the different use cases. To simplify the usage (via Java API and in the editor) the new implementation provides three different top level interfaces for
<strong>Time Deviation</strong>,
@@ -4349,7 +4574,7 @@
<br>The following image shows the detailed hierarchy of time deviations, the other implementations are built accordingly.
</p>
<p>
- <img class="scale" src="images/model_common_deviations_time.png"/>
+ <img class="scale" src="images/model_common_deviations_time.png" />
</p>
@@ -4371,31 +4596,31 @@
<dd>Defines the scenario in which all instances should have runtimes that are uniformly distributed between the set minimum and maximum.</dd>
</dl>
<p>
- <img src="images/model_common_deviation_boundaries_1.png"/>
+ <img src="images/model_common_deviation_boundaries_1.png" />
</p>
<p>
- <img src="images/model_common_deviation_boundaries_2.png"/>
+ <img src="images/model_common_deviation_boundaries_2.png" />
</p>
<h4><a id="section3.2.6.2"></a>Uniform Distribution</h4>
<p>The uniform distribution is a statistical distribution where the values between the stated lower and upper bound are equally likely to be observed.</p>
<p>
- <img src="images/model_common_deviation_uniform.png"/>
+ <img src="images/model_common_deviation_uniform.png" />
</p>
<h4><a id="section3.2.6.3"></a>Gaussian/Normal Distribution</h4>
<p>The Gaussian/normal distribution is a statistical distribution where the values decrease symmetrically. The maximum value and thus its location is thereby stated by the mean and the rate of decrease is defined by its standard deviation. Since the curves approach zero on either side, an additional upper and lower bound can be added to constraint the values.</p>
<p>
- <img src="images/model_common_deviation_normal.png"/>
+ <img src="images/model_common_deviation_normal.png" />
</p>
<h4><a id="section3.2.6.4"></a>Beta Distribution</h4>
<p>The Beta distribution is a statistical distribution whose shape is defined by alpha > 0 and beta > 0. That way, the Beta distribution can also be used to model other distributions like for example uniform, normal, or Bernoulli distribution. Since the curves can approach zero or infinity on either side, an additional upper and lower bound can be added to constraint the values.</p>
<p>
- <img src="images/model_common_deviation_beta.png"/>
+ <img src="images/model_common_deviation_beta.png" />
</p>
@@ -4404,7 +4629,7 @@
<a href="https://en.wikipedia.org/wiki/Weibull_distribution)">Weibull distribution – Wikipedia</a> is solved for the scale parameter, first. Then, the resulting equation for lambda is plugged into the equation of the cumulative distribution function (CDF) for the Weibull distribution. Finally, the lower and upper bound allow to shift this function and the remaining unknown shape parameter in the equation is numerically approximated until the value of the parameter that constraints the distribution regarding the per mill of remaining values is reached.
</p>
<p>
- <img src="images/model_common_deviation_weibull.png"/>
+ <img src="images/model_common_deviation_weibull.png" />
</p>
@@ -4414,7 +4639,7 @@
<i>occurrences</i> which holds the number instances within the interval. The intervals do not have to cover a continuous range nor do they need to have the same interval size. Histograms are useful if there is a limited number of possibilities of valuations, which covers most practical systems. See the following figure for an example of two runnables having a time histogram deviation of their execution times.
</p>
<p>
- <img src="images/model_common_deviation_time_histogram.png"/>
+ <img src="images/model_common_deviation_time_histogram.png" />
</p>
@@ -4429,7 +4654,7 @@
<i>float</i>.
</p>
<p>
- <img src="images/model_common_statistic.png"/>
+ <img src="images/model_common_statistic.png" />
</p>
@@ -4444,7 +4669,7 @@
<i>Ticks</i> are shown in more detail.
</p>
<p>
- <img src="images/model_common_ticks.png"/>
+ <img src="images/model_common_ticks.png" />
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -4542,14 +4767,14 @@
<i>Classifiers</i> provide a mechanism to annotate objects.
</p>
<p>
- <img src="images/model_common_elements.png"/>
+ <img src="images/model_common_elements.png" />
</p>
<h3 id="common-tags"><a id="section3.3.1">3.3.1 </a>Tags</h3>
<p>Tags are a generic possibility to annotate objects in the AMALTHEA model.</p>
<p>
- <img src="images/model_common_tag.png"/>
+ <img src="images/model_common_tag.png" />
</p>
@@ -4558,7 +4783,7 @@
<i>PropertyConstraintsModel</i> to restrict the allocation to cores or the memory mapping.
</p>
<p>
- <img src="images/model_common_classifier.png"/>
+ <img src="images/model_common_classifier.png" />
</p>
@@ -4567,7 +4792,7 @@
<i>Namespace</i>. A namespace provides a prefix to the name of the element.
</p>
<p>
- <img src="images/model_common_elements_namespace_member.png"/>
+ <img src="images/model_common_elements_namespace_member.png" />
</p>
@@ -4592,27 +4817,27 @@
</li>
</ul>
<p>
- <img class="scale" src="images/model_components.png"/>
+ <img class="scale" src="images/model_components.png" />
</p>
<h3><a id="section3.4.1">3.4.1 </a>Component Interfaces</h3>
<p>
- <img class="scale" src="images/model_components_interface.png"/>
+ <img class="scale" src="images/model_components_interface.png" />
</p>
<h3><a id="section3.4.2">3.4.2 </a>Architecture of Systems / Composites</h3>
<p>The inner architecture of a System or a Composite is defined with the ISystem interface. Both elements contain component instances and connectors. The ports of the instances and the containing architecture can be identified as QualifiedPort.</p>
<p>
- <img class="scale" src="images/model_components_composition.png"/>
+ <img class="scale" src="images/model_components_composition.png" />
</p>
<h3><a id="section3.4.3">3.4.3 </a>Components Model Elements</h3>
<p>The elements of the Components Model inherit several capabilities from common elements.</p>
<p>
- <img class="scale" src="images/model_components_common.png"/>
+ <img class="scale" src="images/model_components_common.png" />
</p>
<p>Ports, Components, Composites and ComponentInstances are referable by unique names.
<br>A Connector also has a name but the name is optional and does not have to be unique.
@@ -4622,7 +4847,7 @@
<h4><a id="section3.4.3.1"></a>Component</h4>
<p>The 'Component' class represents a component. Components could be created directly within the 'ComponentModel' and are used as a type for a component instance.</p>
<p>
- <img class="scale" src="images/model_components_component_references.png"/>
+ <img class="scale" src="images/model_components_component_references.png" />
</p>
<p>It contains several ports of type 'Port'. A component refers the classes 'OsEvent', 'Label', 'Runnable' and 'AbstractProcess' from the software model and the class 'Semaphore' from the OS model.</p>
@@ -4638,7 +4863,7 @@
<br>The following diagram shows the main elements to represent the hierarchical architecture.
</p>
<p>
- <img src="images/model_components_isystem.png"/>
+ <img src="images/model_components_isystem.png" />
</p>
<p>In general each inner port should be connected. If a port is intentionally left unconnected it has to be added to the list of 'groundedPorts'.</p>
@@ -4646,7 +4871,7 @@
<h4><a id="section3.4.3.3"></a>ComponentInstance and Connector</h4>
<p>The 'ComponentInstance' and the 'Connector' can be created within a 'System' or a 'Composite'. 'ComponentInstances' are used to represent instances of component- or composite-types. The 'Connector' class is used to connect the component instances to each other via their Ports. The connector contains a source and target 'QualifiedPort'. </p>
<p>
- <img class="scale" src="images/model_components_connector.png"/>
+ <img class="scale" src="images/model_components_connector.png" />
</p>
<p>To specfiy the implementation details of a connection between ports it is possible to specify an interface/channel pair for each connector. This links additional information from the channel implementation like the access behavior to the connector. The connector can contain multiple interface/channel pairs since an interface can contain multiple sub-interfaces realized by multiple data types implemented by multiple channels.</p>
@@ -4673,14 +4898,14 @@
<h4><a id="section3.4.4.1"></a>Diagram</h4>
<p>The diagram of the example shows a composite 'A' that contains two component instances 'X' and 'Y' of type 'B'. The connections between the ports are named 'c1' to 'c4'. The grounded port 'in_3' of instance 'X' (intentionally left unconnected) is marked green. The second unconnected port 'in_2' of instance 'Y' is unspecified. It is marked red and has to be changed, either declared as grounded or connected to another port. </p>
<p>
- <img src="images/model_components_example.png"/>
+ <img src="images/model_components_example.png" />
</p>
<h4><a id="section3.4.4.2"></a>Model Editor</h4>
<p>The same example is shown in the standard AMALTHEA editor.</p>
<p>
- <img src="images/model_components_example_treeview.png"/>
+ <img src="images/model_components_example_treeview.png" />
</p>
@@ -4693,7 +4918,7 @@
<i>EventConfig</i>.
</p>
<p>
- <img src="images/model_config_overview.png"/>
+ <img src="images/model_config_overview.png" />
</p>
@@ -4728,14 +4953,14 @@
<p>The consumer of the configuration must then match and filter the relevant elements for further processing.</p>
<p>The following screenshot is showing this minimal configuration.</p>
<p>
- <img src="images/model_config_sample.png"/>
+ <img src="images/model_config_sample.png" />
</p>
<h2><a id="section3.6">3.6 </a>Constraints Model</h2>
<p>The constraints model contains different kind of constraints. There are the runnable-sequencing-constraints that can be used to define a required order for the runnables of the Software Model, the affinity constraints for defining the constraints for the mapping of runnables, processes and schedulers, and the timing constraints for restricting the time span between events or the duration of event chains. Regarding to that, it is also possible to define event chains in this model. </p>
<p>
- <img src="images/model_constraints.png"/>
+ <img src="images/model_constraints.png" />
</p>
@@ -4761,7 +4986,7 @@
<li>Time Requirement Limit for metrics that describe time intervals</li>
</ul>
<p>
- <img class="scale" src="images/model_constraints_requirements.png"/>
+ <img class="scale" src="images/model_constraints_requirements.png" />
</p>
<p>Time Metric groups all metrics that describe time intervals of an individual process instance or between two succeeding process instances and are defined as follows:</p>
<ul>
@@ -4770,7 +4995,7 @@
<b>ActivateToActivate</b>
</i>: This metric indicates the distance between two successive activations of a task or isr. The
<i>ActivateToActivate</i> metric of process instance n quantifies the time between the activation moment of process instance n and that of instance n+1.<br>
- <img src="images/model_constraints_metric_activatetoactivate.png"/>
+ <img src="images/model_constraints_metric_activatetoactivate.png" />
</li>
<li>
<i>
@@ -4782,26 +5007,26 @@
<b>EndToEnd</b>
</i>: This metric indicates the time interval between two successive ends of a process. The
<i>EndToEnd</i> metric of process instance n quantifies the time between the termination moment of process instance n and that of instance n+1.<br>
- <img src="images/model_constraints_metric_endtoend.png"/>
+ <img src="images/model_constraints_metric_endtoend.png" />
</li>
<li>
<i>
<b>EndToStart</b>
</i>: This metric indicates the time interval between two successive process instances. The
<i>EndToStart</i> metric of process instance n quantifies the time between the termination moment of process instance n and the start moment of instance n+1.<br>
- <img src="images/model_constraints_metric_endtostart.png"/>
+ <img src="images/model_constraints_metric_endtostart.png" />
</li>
<li>
<i>
<b>GrossExecutionTime</b>
</i>: This metric indicates the time interval between the start moment and the termination moment of a process instance.<br>
- <img src="images/model_constraints_metric_grossexecutiontime.png"/>
+ <img src="images/model_constraints_metric_grossexecutiontime.png" />
</li>
<li>
<i>
<b>Lateness</b>
</i>: This metric indicates whether a process instance misses its deadline. It quantifies the amount of time between the termination moment of the process instance and its deadline. Thus, the resulting lateness is negative and indicates that no deadline miss occurred if the termination moment of the process instance is before the deadline and vice versa.<br>
- <img src="images/model_constraints_metric_lateness.png"/>
+ <img src="images/model_constraints_metric_lateness.png" />
</li>
<li>
<i>
@@ -4812,7 +5037,7 @@
<i>
<b>NetExecutionTime</b>
</i>: The net execution time indicates the actual execution time of a process instance, i.e., the time it is occupying a processing unit. Thus, it quantifies the time from the start moment of a process instance to its termination moment excluding the time the process instance is interfered.<br>
- <img src="images/model_constraints_metric_netexecutiontime.png"/>
+ <img src="images/model_constraints_metric_netexecutiontime.png" />
</li>
<li>
<i>
@@ -4828,44 +5053,44 @@
<i>
<b>PollingTime</b>
</i>: This metric quantifies the amount of time that a process instance spends between its start and termination actively waiting for the access of a resource.<br>
- <img src="images/model_constraints_metric_pollingtime.png"/>
+ <img src="images/model_constraints_metric_pollingtime.png" />
</li>
<li>
<i>
<b>ReadyTime</b>
</i>: This metric quantifies the amount of time of a process instance between its start and termination in which it is not actively executed on any processing unit.<br>
- <img src="images/model_constraints_metric_readytime.png"/>
+ <img src="images/model_constraints_metric_readytime.png" />
</li>
<li>
<i>
<b>ResponseTime</b>
</i>: The response time of a task or ISR instance is defined as the time between the moment of its activation and its termination. Thus, it measures the whole life cycle of a process instance.<br>
- <img src="images/model_constraints_metric_responsetime.png"/>
+ <img src="images/model_constraints_metric_responsetime.png" />
</li>
<li>
<i>
<b>RunningTime</b>
</i>: This metric quantifies the amount of time of a process instance between its start and termination in which it is actively executed on any processing unit.<br>
- <img src="images/model_constraints_metric_runningtime.png"/>
+ <img src="images/model_constraints_metric_runningtime.png" />
</li>
<li>
<i>
<b>StartDelay</b>
</i>: This metric quantifies the delay of the start time of a process instance which is defined as the time interval between the activation moment of this process instance and its start moment.<br>
- <img src="images/model_constraints_metric_startdelay.png"/>
+ <img src="images/model_constraints_metric_startdelay.png" />
</li>
<li>
<i>
<b>StartToStart</b>
</i>: This metric indicates the time interval between two successive starts of a process. The
<i>StartToStart</i> metric of process instance n quantifies the time between the start moment of process instance n and that of instance n+1.<br>
- <img src="images/model_constraints_metric_starttostart.png"/>
+ <img src="images/model_constraints_metric_starttostart.png" />
</li>
<li>
<i>
<b>WaitingTime</b>
</i>: This metric quantifies the amount of time that a process instance spends between its start and termination passively waiting for an OS event.<br>
- <img src="images/model_constraints_metric_waitingtime.png"/>
+ <img src="images/model_constraints_metric_waitingtime.png" />
</li>
</ul>
<p>Count Metrics are metrics that describe absolutely how often system characteristics occur and are defined as follows:</p>
@@ -4998,7 +5223,7 @@
<li>Position of sequence within a process (start, end, any position)</li>
</ul>
<p>
- <img src="images/model_constraints_runnable_sequencing.png"/>
+ <img src="images/model_constraints_runnable_sequencing.png" />
</p>
<p>A
<i>RunnableSequencingConstraint</i> contains a list of
@@ -5017,13 +5242,13 @@
<i>RunnableSequencingConstraint</i> and multiple possible runtime situations. The constraint has two runnable groups, each depicted by an ellipsis. In this example, there is just one runnable in each group. The runnables in the groups must be executed in the order of the group ("R1" before "R2"). There is no restriction in which process context the runnables are executed. It is important that the order is correct and that the runnable of one group terminates before the runnable of the next group starts. The exemplary runtime situations shown in the lower part of the figure visualise situations that satisfy this constraint (blue) and those who violate the constraint (red).
</p>
<p>
- <img src="images/model_constraints_runnable_sequencing_basic.png"/>
+ <img src="images/model_constraints_runnable_sequencing_basic.png" />
</p>
<p>The
<i>RunnableSequencingConstraint</i> in the next figure has two processes set as a scope in its second group. That means that the runnable "R3" is allowed to be executed on the processes "P1" or "P3" (blue). But it is only expected to be executed one time in between (red)!
</p>
<p>
- <img src="images/model_constraints_runnable_sequencing_scope.png"/>
+ <img src="images/model_constraints_runnable_sequencing_scope.png" />
</p>
<p>Each
<i>RunnableSequencingConstraint</i> has a
@@ -5045,7 +5270,7 @@
<h3><a id="section3.6.3">3.6.3 </a>Data Age Constraints</h3>
<p>Data Age constraints are used to define when the information in a label becomes valid or invalid after its last update. Therefore a runnable and a label has to be set. The information update occurs when the runnable performs a write access on the label. It is possible to define the minimum time after the information of a label update becomes valid. This means that the information shall not be used for further calculations before this time is over. The maximum time on the other hand defines the time after the label update when the information becomes invalid. Beside of time it is possible to define a minimum and maximum cycle. The cycle is related to the activation of the process that executes the runnable. </p>
<p>
- <img src="images/model_constraints_data_age.png"/>
+ <img src="images/model_constraints_data_age.png" />
</p>
<ul class="validation-rule">
<li>DataAgeTime: The
@@ -5065,7 +5290,7 @@
<br>The Direction hereby is used to specify if the labels have to be read or written coherently. Moreover, the scope attribute defines the context of the coherent read or write requirement. Possible scopes are components, processes, and runnables.
</p>
<p>
- <img src="images/model_constraints_data_coherency.png"/>
+ <img src="images/model_constraints_data_coherency.png" />
</p>
@@ -5081,14 +5306,14 @@
</ul>
<p>This means that it has to be guaranteed that the values of labels are identical either within the runnable, the process, or the component in which the denoted labels are accessed.</p>
<p>
- <img src="images/model_constraints_data_stability.png"/>
+ <img src="images/model_constraints_data_stability.png" />
</p>
<h3><a id="section3.6.6">3.6.6 </a>Event Chains</h3>
<p>The concept for event chains is based on the Timing Augmented Description Language. </p>
<p>
- <img src="images/model_constraints_eventchain.png"/>
+ <img src="images/model_constraints_eventchain.png" />
</p>
<p>The
<i class="Abstract">EventChain</i> consists of
@@ -5132,19 +5357,19 @@
<strong>Simple structural example for sequence</strong>
</p>
<p>
- <img src="images/model_constraints_eventchain_sequence.png" style="width: 750px"/>
+ <img src="images/model_constraints_eventchain_sequence.png" style="width: 750px" />
</p>
<p>
<strong>Simple structural example for parallel paths</strong>
</p>
<p>
- <img src="images/model_constraints_eventchain_parallel.png" style="width: 800px"/>
+ <img src="images/model_constraints_eventchain_parallel.png" style="width: 800px" />
</p>
<p>
<strong>Structural example how to combine both</strong>
</p>
<p>
- <img src="images/model_constraints_eventchain_example.png" style="width: 650px"/>
+ <img src="images/model_constraints_eventchain_example.png" style="width: 650px" />
</p>
<p>The picture below shows a simple example for an event chain of four events in a row.
<br>The top level chain defines the first event (E1) and the last event (E4).
@@ -5157,14 +5382,14 @@
<br>The response of the last child event chain has to be the same as the response of the parent (green in picture).
</p>
<p>
- <img src="images/model_constraints_eventchain_segments.png" style="width: 500px"/>
+ <img src="images/model_constraints_eventchain_segments.png" style="width: 500px" />
</p>
<p>As a stimulus or response event it is either possible to use an Entity Event or an Event Set.
<br>An Entity Event is a single event regarding to an entity like a task or a runnable. So it can be e.g. the start of a runnable.
<br>If a set of events is used, then all events of this group must occur fulfill the event chain. The order in which the events occur is not important.
</p>
<p>
- <img src="images/model_constraints_eventchain_eventgroups.png"/>
+ <img src="images/model_constraints_eventchain_eventgroups.png" />
</p>
@@ -5186,7 +5411,7 @@
<i>multipleOccurrencesAllowed</i> defines, whether for the constraint all occurrences have to be considered or just the subsequent ones.
</p>
<p>
- <img src="images/model_constraints_timing_sync.png"/>
+ <img src="images/model_constraints_timing_sync.png" />
</p>
<ul class="validation-rule">
<li>
@@ -5203,7 +5428,7 @@
<br>Every sequence of span occurrences of event must have a length of at least lower and at most upper time units.
</p>
<p>
- <img src="images/model_constraints_timing_repetition.png"/>
+ <img src="images/model_constraints_timing_repetition.png" />
</p>
<ul class="validation-rule">
<li>
@@ -5231,7 +5456,7 @@
<h4><a id="section3.6.7.3"></a>Delay Constraint</h4>
<p>
- <img src="images/model_constraints_timing_delay.png"/>
+ <img src="images/model_constraints_timing_delay.png" />
</p>
<ul class="validation-rule">
<li>
@@ -5274,7 +5499,7 @@
</li>
</ul>
<p>
- <img src="images/model_constraints_delayconstraint_onetoone.png"/>
+ <img src="images/model_constraints_delayconstraint_onetoone.png" />
</p>
<ul>
<li>
@@ -5293,7 +5518,7 @@
</li>
</ul>
<p>
- <img src="images/model_constraints_delayconstraint_reaction.png"/>
+ <img src="images/model_constraints_delayconstraint_reaction.png" />
</p>
<ul>
<li>
@@ -5304,7 +5529,7 @@
</li>
</ul>
<p>
- <img src="images/model_constraints_delayconstraint_uniquereaction.png"/>
+ <img src="images/model_constraints_delayconstraint_uniquereaction.png" />
</p>
@@ -5316,7 +5541,7 @@
<br>It always refers to an EventChain.
</p>
<p>
- <img src="images/model_constraints_timing_latency.png"/>
+ <img src="images/model_constraints_timing_latency.png" />
</p>
<ul class="validation-rule">
<li>
@@ -5342,7 +5567,7 @@
<li>Labels</li>
</ul>
<p>
- <img src="images/model_constraints_affinity.png"/>
+ <img src="images/model_constraints_affinity.png" />
</p>
<p>An affinity constraint can either be a pairing or a separation constraint. A pairing constraint contains one amount of objects and a target. The pairing constraints say "All these objects must run together on this target". A separation constraint contains two groups of objects and a target. It says "This group of objects is not allowed to be mapped with the other group of objects on the specific target". So the separation constraint can be used to forbid a combination of objects on a target. It can also be used to say "These objects are not allowed to be mapped on this target". In this case only one group of the separation constraint is used.</p>
<p>Each affinity constraint has one or more targets. The type of the target depends on the type that should be mapped.</p>
@@ -5353,7 +5578,7 @@
<i>DataConstraint</i> is used to define the mapping of label objects to memory units.
</p>
<p>
- <img src="images/model_constraints_affinity_data.png"/>
+ <img src="images/model_constraints_affinity_data.png" />
</p>
@@ -5362,7 +5587,7 @@
<i>ProcessConstraint</i> is used to define the mapping of process (Task or ISR) objects to processing cores or scheduling units.
</p>
<p>
- <img src="images/model_constraints_affinity_process.png"/>
+ <img src="images/model_constraints_affinity_process.png" />
</p>
@@ -5371,7 +5596,7 @@
<i>RunnableConstraint</i> is used to define the mapping of runnable objects to processing cores or scheduling units.
</p>
<p>
- <img src="images/model_constraints_affinity_runnable.png"/>
+ <img src="images/model_constraints_affinity_runnable.png" />
</p>
@@ -5392,7 +5617,7 @@
<h2><a id="section3.7">3.7 </a>Event Model</h2>
<p>The event model provides the classes to describe the BTF-Events that can be used for the tracing configuration, for the modeling of event chains and for some timing constraints. </p>
<p>
- <img class="scale" src="images/model_events.png"/>
+ <img class="scale" src="images/model_events.png" />
</p>
<p>There are different event classes for the different entity types that can be traced: </p>
<table class="classic">
@@ -5435,7 +5660,7 @@
</table>
<p>In a running system, each entity can have different states. An event trace consists of the events that are visualizing the state-transitions of the traced entities. To define such an event in the model, each kind of event class contains an event-type-enumeration that provides the event-types for the state-transitions of its entity. The following picture shows the possible states of a process: </p>
<p>
- <img src="images/model_events_process.png"/>
+ <img src="images/model_events_process.png" />
</p>
<p>So for example the event-type-enumeration for a process event contains the events
<i>activate</i>,
@@ -5554,25 +5779,25 @@
<h4><a id="section3.8.1.1"></a>Hardware model elements</h4>
<p>
- <img class="scale" src="images/model_hw_main.png"/>
+ <img class="scale" src="images/model_hw_main.png" />
</p>
<h4><a id="section3.8.1.2"></a>Hardware definitions and features</h4>
<p>
- <img class="scale" src="images/model_hw_definition.png"/>
+ <img class="scale" src="images/model_hw_definition.png" />
</p>
<h4><a id="section3.8.1.3"></a>Hardware modules and access elements</h4>
<p>
- <img class="scale" src="images/model_hw_module.png"/>
+ <img class="scale" src="images/model_hw_module.png" />
</p>
<h4><a id="section3.8.1.4"></a>Hardware paths and destinations</h4>
<p>
- <img class="scale" src="images/model_hw_access.png"/>
+ <img class="scale" src="images/model_hw_access.png" />
</p>
@@ -5635,7 +5860,7 @@
<h4><a id="section3.8.2.2"></a>HwDefinition</h4>
- <p>Additional information about the definition concept in general can be found in the User Guide (see <a href="#general-hardware-model-overview">General Hardware Model Overview</a>).</p>
+ <p>Additional information about the definition concept in general can be found in the User Guide (see <a href="#user-hw-overview">General Hardware Model Overview</a>).</p>
<h5><a id="section3.8.2.2.1"></a>ProcessingUnitDefinition</h5>
@@ -5822,7 +6047,7 @@
<em>ConnectionHandler</em> instances of this kind.
</p>
<p>
- <img class="scale" src="images/hw_connection_handler_parallel_accesses_1.png"/>
+ <img class="scale" src="images/hw_connection_handler_parallel_accesses_1.png" />
</p>
<p>The figures shows an example of the attribute
<em>MaxConcurrentTransfers</em> with the default value 1. This means that all
@@ -5834,7 +6059,7 @@
<em>ConnectionHandler</em> can handle up to 3 concurrent requests.
</p>
<p>
- <img class="scale" src="images/hw_connection_handler_parallel_accesses_3.png"/>
+ <img class="scale" src="images/hw_connection_handler_parallel_accesses_3.png" />
</p>
<p>The value for
<em>MaxConcurrentTransfers</em> has to be smaller or equal then the min(initiator ports, responder ports).
@@ -5918,7 +6143,7 @@
<em>HwStructures</em> any kind of hierarchical system can be expressed. By setting the structure type attribute (e.g. Cluster, ECU) the structural level in the hardware is directly expressible.
</p>
<p>
- <img class="scale" src="images/hw_structure_example.png"/>
+ <img class="scale" src="images/hw_structure_example.png" />
</p>
<p>The figure shows an example for creating a hierarchy within an E/E-architecture. The
<em>HwStructure System</em> (which is called "System") is created as top level structure within the HwModel. It contains three other structures which represents different ECUs. The structures are connected via
@@ -5983,7 +6208,7 @@
<h4><a id="section3.8.2.4"></a>HwDomain</h4>
<p>
- <img class="scale" src="images/hw_domain_example.png"/>
+ <img class="scale" src="images/hw_domain_example.png" />
</p>
<p>The figure shows an example for
<em>HwDomain</em> (
@@ -6082,13 +6307,13 @@
<em>HwFeatureCategories</em>. Currently this
<em>HwFeatureCategories</em> are directly referenced out of the Software Model in future the cost function (
<em>Recipes</em>) of an algorithm will be placed in an additional intermediate layer.
- <br>More information can be found in (see <a href="../topic/org.eclipse.app4mc.amalthea.model.help/help/user_hw.html">Hardware Concepts</a>).
+ <br>More information can be found in (see <a href="#user-hw">Hardware Concepts</a>).
</p>
<p>
<em>NOTE: The concepts "Recipe" and "Hardware Features" are work in progress. Changes to the already implemented HwFeatures are probable.</em>
</p>
<p>
- <img class="scale" src="images/hw_feature_example.png"/>
+ <img class="scale" src="images/hw_feature_example.png" />
</p>
<table class="classic">
<tr>
@@ -6354,7 +6579,7 @@
<em>ConnectionHandler</em>, or elements like small routers within a NoC.
</p>
<p>
- <img class="scale" src="images/hw_connection_handler_example.png"/>
+ <img class="scale" src="images/hw_connection_handler_example.png" />
</p>
<p>The figure shows an example where a
<em>ConnectionHandler</em> is used as an interconnect within a SoC. Optional it is possible to model
@@ -6510,7 +6735,7 @@
<em>InternalConnections</em>.
</p>
<p>
- <img class="scale" src="images/hw_port_example.png"/>
+ <img class="scale" src="images/hw_port_example.png" />
</p>
<p>In case the
<em>BitWidth</em> becomes important (e.g. to calculate the amount of data which is transfered over an
@@ -6523,14 +6748,14 @@
<em>responder</em> port. The following example shows that an initiator port is always connected to a responder port (comparable to TLM modeling).
</p>
<p>
- <img class="scale" src="images/hw_port_example_i_r.png"/>
+ <img class="scale" src="images/hw_port_example_i_r.png" />
</p>
<p>In case of a delegated port (which is used as hierarchical port at a
<em>HwStructure</em>) the
<em>PortType</em> of the module inside the structure is reflected. The following figure shows four different examples. The ports which are delegated are marked grey.
</p>
<p>
- <img class="scale" src="images/hw_port_example_i_r_with_delegated_ports.png"/>
+ <img class="scale" src="images/hw_port_example_i_r_with_delegated_ports.png" />
</p>
<table class="classic">
<tr>
@@ -6668,7 +6893,7 @@
<em>Memory</em>.
</p>
<p>
- <img class="scale" src="images/hw_access_path_example.png"/>
+ <img class="scale" src="images/hw_access_path_example.png" />
</p>
<p>In the following example the possible memOffset attribute is explained. Every
<em>ProcessingUnit</em> can access a
@@ -6686,7 +6911,7 @@
<em>memOffset</em> attribute can be used. With help of this attribute the access area for the memory can be changed, the following figure shows an example.
</p>
<p>
- <img class="scale" src="images/hw_memory_address_example.png"/>
+ <img class="scale" src="images/hw_memory_address_example.png" />
</p>
<table class="classic">
<tr>
@@ -6816,7 +7041,7 @@
<h3><a id="section3.9.1">3.9.1 </a>Overview</h3>
<p>The Meta Model specifying the Mapping Model is shown below.</p>
<p>
- <img class="scale" src="images/model_mapping_overview.png"/>
+ <img class="scale" src="images/model_mapping_overview.png" />
</p>
@@ -6830,7 +7055,7 @@
<h3><a id="section3.9.2">3.9.2 </a>Allocations</h3>
<p>
- <img class="scale" src="images/model_mapping_allocation.png"/>
+ <img class="scale" src="images/model_mapping_allocation.png" />
</p>
@@ -6958,7 +7183,7 @@
</li>
<li>description of memory address location where the Physical Memory Section is allocated</li>
</ul>
- <p>Note for additional information (see <a href="#section2.2.9">Memory Sections</a>)</p>
+ <p>Note for additional information (see <a href="#user-memsection">User Guide > Concepts > Memory Sections</a>)</p>
<h2><a id="section3.10">3.10 </a>Measurement Model</h2>
@@ -6970,28 +7195,28 @@
<p>Changing the model should result in an invalidation of the measurement model. For use cases such as timing simulation the measurement model is of no importance and should be ignored.</p>
<p>Measurements refer to given elements of other model parts and can easily be exchanged (added, removed, updated).</p>
<p>
- <img src="images/model_measurement.png"/>
+ <img src="images/model_measurement.png" />
</p>
<h2><a id="section3.11">3.11 </a>OS Model</h2>
<p>This part of the AMALTHEA model describes the provided functionality of an operating system. It mainly provides a way to specify how access is given to certain system resources. Therefore the concepts of scheduling, buffering, and semaphores are supported, which are described in detail in the following chapter.</p>
<p>
- <img src="images/model_os_overview.png"/>
+ <img src="images/model_os_overview.png" />
</p>
<h3><a id="section3.11.1">3.11.1 </a>Operating System</h3>
<p>The basic element in the OS Model is the operating system. There can be multiple operating systems in one model. The operating system type can be used to describe a generic operating system. It is also possible to use the vendor operating system type to define a vendor specific OS. An operating system contains a number of task schedulers and interrupt controllers. A task scheduler controls the execution of a task on one or multiple processor cores. An interrupt controller is the controller for the execution of ISRs and can be also mapped to multiple cores. The mapping of tasks and ISRs to their controller and the mapping of the controller to the cores can be done in the Mapping Model. An operating system can also contain a description of the overhead it produces. For this there is a more detailed explanation below. </p>
<p>
- <img src="images/model_os_operatingsystem.png"/>
+ <img src="images/model_os_operatingsystem.png" />
</p>
<h3><a id="section3.11.2">3.11.2 </a>Scheduler</h3>
<p>Interrupt controller and task scheduler have a scheduling algorithm. The picture below shows that both types are inherited of the scheduler type. Each scheduler has computation items. These items (a subset of the runnable items) characterize the runtime behavior (algorithmic overhead) of the scheduler.</p>
<p>
- <img src="images/model_os_scheduler.png"/>
+ <img src="images/model_os_scheduler.png" />
</p>
@@ -7108,7 +7333,7 @@
<h4><a id="section3.11.2.2"></a>Scheduling Parameters</h4>
<p>The class SchedulingParameters contains predefined parameters that are relevant for many scheduling algorithms. If a parameter is not used in a given context the value is null. Additional parameters can be added as key-value pairs of class ParameterExtensions.</p>
<p>
- <img src="images/model_os_scheduling_parameters.png"/>
+ <img src="images/model_os_scheduling_parameters.png" />
</p>
<table class="classic">
<tr>
@@ -7146,7 +7371,7 @@
<i>SchedulerAssociation</i>. If set, the parent scheduler takes the initial decision who is executing. If the child-scheduler is not a grouping of tasks, it can take scheduling decisions if permission is granted by the parent. The association also contains the relevant parameters of the scheduler in the hierarchical context.
</p>
<p>
- <img src="images/model_os_scheduler_association.png"/>
+ <img src="images/model_os_scheduler_association.png" />
</p>
<table class="classic">
<tr>
@@ -7185,7 +7410,7 @@
<h3><a id="section3.11.3">3.11.3 </a>Os Overhead</h3>
<p>It is possible to define the overhead that is produced by an operating system. The defined overhead can be assigned to an operating system definition. Each overhead information is defined as a set of instructions that has to be executed when the corresponding OS function is used. The instructions can be either a constant set or a deviation of instructions. It is possible to define the overhead for the ISR category one and two and for a number of operating system API functions.</p>
<p>
- <img src="images/model_os_osoverhead.png"/>
+ <img src="images/model_os_osoverhead.png" />
</p>
@@ -7247,7 +7472,7 @@
<li>Provide the results of a performed data consistency calculation which then have to be considered by external tools (e.g. by timing simulation).</li>
</ul>
<p>
- <img src="images/model_os_data_consistency.png"/>
+ <img src="images/model_os_data_consistency.png" />
</p>
<p>To distinguish the different use cases and to consequently also indicate the workflow progress for achieving data consistency,
<i>OsDataConsistencyMode</i> allows to define the general configuration of the data consistency. The following modes are available:
@@ -7287,7 +7512,7 @@
<h3><a id="section3.11.5">3.11.5 </a>Semaphore</h3>
<p>With this object, a semaphore can be described which limits the access of several processes to one resource at the same time.</p>
<p>
- <img src="images/model_os_semaphore.png"/>
+ <img src="images/model_os_semaphore.png" />
</p>
<table class="classic">
<tr>
@@ -7339,7 +7564,7 @@
<h3><a id="section3.12.1">3.12.1 </a>Structure</h3>
<p>The figure below shows the Property Constraints model. In order to provide a better understanding of the model, interconnections between software model elements are not shown in this figure.</p>
<p>
- <img src="images/model_propertyconstraints_overview.png"/>
+ <img src="images/model_propertyconstraints_overview.png" />
</p>
@@ -7408,20 +7633,20 @@
<h3><a id="section3.12.5">3.12.5 </a>Example</h3>
<p>
- <img src="images/model_propertyconstraints_example.png"/>
+ <img src="images/model_propertyconstraints_example.png" />
</p>
<h2><a id="section3.13">3.13 </a>Stimuli Model</h2>
<p>The Stimuli Model contains stimulus and clock objects.</p>
<p>
- <img class="scale" src="images/model_stimuli.png"/>
+ <img class="scale" src="images/model_stimuli.png" />
</p>
<h3><a id="section3.13.1">3.13.1 </a>Stimuli</h3>
<p>
- <img class="scale" src="images/model_stimuli_stimuli.png"/>
+ <img class="scale" src="images/model_stimuli_stimuli.png" />
</p>
<p>A stimulus is responsible to activate processes. The following different types are available:</p>
<ul>
@@ -7516,30 +7741,30 @@
<em>occurrence</em>.
</p>
<p>
- <img src="images/model_stimuli_single.png" style="width:600px"/>
+ <img src="images/model_stimuli_single.png" style="width:600px" />
</p>
<h4><a id="section3.13.1.2"></a>Arrival Curves</h4>
<p>An arrival curve is described as a list of time-borders in which a specified number of activations are expected. The picture below shows an example for this. In the first picture there is a number of occurrences on a timeline.</p>
<p>
- <img src="images/model_stimuli_arrival_curve_1.png" style="width:500px"/>
+ <img src="images/model_stimuli_arrival_curve_1.png" style="width:500px" />
</p>
<p>In the picture below every distance between two activations is measured. The minimum and the maximum distance is added to the table as time-border for the occurrence of two activations. This means that after one activations there has to be at least a gap of one time-unit before the next activations can occur. It also means that there will be always a second activations within eight time units after the last activations. Basically this would be enough to describe an Arrival Curve Stimulus. But it is possible to create a more precise stimulus by describing additional time borders for greater number of occurrences. This is shown in the steps below. </p>
<p>
- <img src="images/model_stimuli_arrival_curve_2.png" style="width:400px"/>
+ <img src="images/model_stimuli_arrival_curve_2.png" style="width:400px" />
</p>
<p>The same as for two activations in the picture above is done here for three activations. Like already mentioned above, this is an additional restriction for occurrence of an activations. </p>
<p>
- <img src="images/model_stimuli_arrival_curve_3.png" style="width:400px"/>
+ <img src="images/model_stimuli_arrival_curve_3.png" style="width:400px" />
</p>
<p>And for four activations:</p>
<p>
- <img src="images/model_stimuli_arrival_curve_4.png" style="width:400px"/>
+ <img src="images/model_stimuli_arrival_curve_4.png" style="width:400px" />
</p>
<p>The picture below shows the table as arrival curve graph. The red line is the upper-time-border that shows the latest time where the activations will occur. The green line shows the earliest possible time where the activations can occur. </p>
<p>
- <img src="images/model_stimuli_arrival_curve_5.png" style="width:600px"/>
+ <img src="images/model_stimuli_arrival_curve_5.png" style="width:600px" />
</p>
@@ -7558,7 +7783,7 @@
<em>Periodic</em> Stimulus example with only a fix offset and recurrence time.
</p>
<p>
- <img src="images/model_stimuli_periodic.png" style="width:650px"/>
+ <img src="images/model_stimuli_periodic.png" style="width:650px" />
</p>
@@ -7570,7 +7795,7 @@
<em>minDistance</em> value allows the user to define the minimum distance between the current and the next activation.
</p>
<p>
- <img src="images/model_stimuli_periodic_jitter.png" style="width:650px"/>
+ <img src="images/model_stimuli_periodic_jitter.png" style="width:650px" />
</p>
<p>The recurrence of a
<em>Periodic</em> Stimulus is absolute. This means that a recurrence of 10ms points exactly to the next activation every 10ms. The
@@ -7593,7 +7818,7 @@
<em>Synthetic</em> Stimulus example with two periodic activations after the time units T1 and T2.
</p>
<p>
- <img src="images/model_stimuli_synthetic.png"/>
+ <img src="images/model_stimuli_synthetic.png" />
</p>
@@ -7602,7 +7827,7 @@
<em>PeriodicBurst</em> Stimulus specifies a set of burst activations that are periodically repeated. This means that multiple activations occur very close to each other and this recurs in a periodic matter. The burst pattern has a fixed recurrence period and every burst results in multiple activations.
</p>
<p>
- <img src="images/model_stimuli_periodic_burst.png" style="width:700px"/>
+ <img src="images/model_stimuli_periodic_burst.png" style="width:700px" />
</p>
<p>The number of occurrences per burst are specified via
<em>occurrenceCount</em>. The
@@ -7624,7 +7849,7 @@
<em>Periodic</em> Stimulus.
</p>
<p>
- <img src="images/model_stimuli_periodic_relative.png" style="width:700px"/>
+ <img src="images/model_stimuli_periodic_relative.png" style="width:700px" />
</p>
@@ -7645,7 +7870,7 @@
<em>step</em>. With these values, the maximum acceleration and maximum deceleration of the stimuli can be calculated.
</p>
<p>
- <img src="images/model_stimuli_variablerate.png" style="width:700px"/>
+ <img src="images/model_stimuli_variablerate.png" style="width:700px" />
</p>
<p>An additional feature for the
<em>variableRate</em> Stimulus is the description of
@@ -7666,7 +7891,7 @@
<em>ClockStepList</em>.
</p>
<p>
- <img class="scale" src="images/model_stimuli_clocks.png"/>
+ <img class="scale" src="images/model_stimuli_clocks.png" />
</p>
@@ -7684,11 +7909,11 @@
<em>peakToPeak</em> attributes. In the example shown in the figure the first stimulus is fired at 1.3s, second at 2.06s and so on.
</p>
<p>
- <img src="images/model_stimuli_clocks_sine.png" style="width:850px"/>
+ <img src="images/model_stimuli_clocks_sine.png" style="width:850px" />
</p>
<p>The triangle clock function increases and decreases at a constant rate. The shape of this clock function is governed by the same attributes as the sine wave, only the underlying mathematical definition is different. In the example figure below, the first activation occurs at 0.828s, the second at 1.464s and so on.</p>
<p>
- <img src="images/model_stimuli_clocks_triangle.png" style="width:650px"/>
+ <img src="images/model_stimuli_clocks_triangle.png" style="width:650px" />
</p>
@@ -7700,7 +7925,7 @@
<em>PeriodicSynthetic</em> stimulus). If the period is not set, the clock rate will remain the same after the last clock step change. Considering the clock steps: <1Hz, 1s>, <3Hz, 3s>, <2Hz, 5s>, <0Hz, 6s>, <2Hz, 7s>, a sampling recurrence of 2, and a period of 9s, the clock step function will result in the plot depicted in the following figure.
</p>
<p>
- <img src="images/model_stimuli_clocks_steplist.png" style="width:750px"/>
+ <img src="images/model_stimuli_clocks_steplist.png" style="width:750px" />
</p>
@@ -7725,7 +7950,7 @@
</li>
</ul>
<p>
- <img src="images/model_stimuli_clocks_triangle_example.png" style="width:750px"/>
+ <img src="images/model_stimuli_clocks_triangle_example.png" style="width:750px" />
</p>
<p>Task shall be triggered when the engine crankshaft reaches 30 degrees. Triggering should repeat for every two rotations. The scenario configuration for this example can then be derived as follows:</p>
<ul>
@@ -7739,7 +7964,7 @@
</li>
</ul>
<p>
- <img src="images/model_stimuli_clocks_triangle_example_scenario.png" style="width:750px"/>
+ <img src="images/model_stimuli_clocks_triangle_example_scenario.png" style="width:750px" />
</p>
<p>The engine crankshaft reaches 30 degrees at 1.66ms. From then on, the crankshaft completes 2 rotations at 41.49ms and 4 rotations at 81ms.</p>
@@ -7750,7 +7975,7 @@
<strong>execution-condition</strong> modes also determine if a stimulus is executed.
</p>
<p>
- <img class="scale" src="images/model_stimuli_modevaluelist.png"/>
+ <img class="scale" src="images/model_stimuli_modevaluelist.png" />
</p>
<ul class="validation-rule">
<li>
@@ -7781,7 +8006,7 @@
<i>AbstractMemoryElement</i> (the overview picture is only showing the hierarchy and not possible relationships between the elements):
</p>
<p>
- <img class="scale" src="images/model_sw_memory_inf.png"/>
+ <img class="scale" src="images/model_sw_memory_inf.png" />
</p>
@@ -7790,7 +8015,7 @@
<br>It can be used as a parameter, a temporarily existing variable or representing a constant value.
</p>
<p>
- <img src="images/model_sw_label.png"/>
+ <img src="images/model_sw_label.png" />
</p>
<p>The following attributes are describing a label:</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
@@ -7852,7 +8077,7 @@
<h3><a id="section3.14.3">3.14.3 </a>Channels</h3>
<p>The channel element has two different characteristics: it represents a data element in memory and also a way how runnables transmit larger amounts of data. A typical applications is the streaming of video data where a continuous sequence of images is sent in smaller chunks.</p>
<p>
- <img src="images/model_sw_channel.png"/>
+ <img src="images/model_sw_channel.png" />
</p>
<p>The following attributes are describing a label:</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
@@ -7911,7 +8136,7 @@
<br>They can consist of static structures or dynamic ones, like arrays or stacks.
</p>
<p>
- <img src="images/model_sw_type_system.png"/>
+ <img src="images/model_sw_type_system.png" />
</p>
<p>The following compound data type definitions are currently supported:</p>
<ul>
@@ -7931,7 +8156,7 @@
</ul>
<p>Note: The picture shows the element types for better understanding!</p>
<p>
- <img class="gray" src="images/model_sw_type_sample.png"/>
+ <img class="gray" src="images/model_sw_type_sample.png" />
</p>
@@ -7942,7 +8167,7 @@
<br>Activations are independent of other top level elements in the AMALTHEA model. Single, periodic, sporadic, event or custom (free textual description only, no predefined semantic) activation pattern can be defined. This information can be used in the following development steps to create tasks, stimuli and the mappings to dedicated hardware.
</p>
<p>
- <img src="images/model_sw_activation.png"/>
+ <img src="images/model_sw_activation.png" />
</p>
<ul class="validation-rule">
<li>
@@ -7991,7 +8216,7 @@
<i>activityGraph</i> attribute.
</p>
<p>
- <img class="scale" src="images/model_sw_task_isr.png"/>
+ <img class="scale" src="images/model_sw_task_isr.png" />
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -8047,7 +8272,7 @@
<i>Runnable</i> element.
</p>
<p>
- <img src="images/model_sw_runnable_overview.png"/>
+ <img src="images/model_sw_runnable_overview.png" />
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -8113,7 +8338,7 @@
<i>IActivityGraphItemContainer</i>.
</p>
<p>
- <img src="images/model_sw_activitygraph_item_container.png"/>
+ <img src="images/model_sw_activitygraph_item_container.png" />
</p>
<p>The following picture shows the structure of a
<i>Activity Graph</i>. The
@@ -8121,7 +8346,7 @@
<i>Switches</i> it is possible to define alternative execution paths. The elements of the graph are executed in the order they are stored in the data model.
</p>
<p>
- <img src="images/model_sw_activitygraph_structure.png"/>
+ <img src="images/model_sw_activitygraph_structure.png" />
</p>
@@ -8135,7 +8360,7 @@
<i>Semaphore</i>. An overview of the different possibilities is given in the next pictures.
</p>
<p>
- <img src="images/model_sw_activitygraph_items.png"/>
+ <img src="images/model_sw_activitygraph_items.png" />
</p>
@@ -8147,7 +8372,7 @@
<i>isOrdered</i> indicates if the execution order of the contained elements is fixed or random.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__group.png"/>
+ <img src="images/model_sw_activity_graph_items__group.png" />
</p>
@@ -8164,7 +8389,7 @@
<i>ModeSwitchEntries</i> fits to the current mode settings.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__mode_switch.png"/>
+ <img src="images/model_sw_activity_graph_items__mode_switch.png" />
</p>
@@ -8174,7 +8399,7 @@
<i>ProbabilitySwitchEntries</i> in the surrounding switch.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__probability_switch.png"/>
+ <img src="images/model_sw_activity_graph_items__probability_switch.png" />
</p>
@@ -8192,13 +8417,13 @@
<i>NeedEntries</i> can be used to specify execution characteristics. There is a map of default entries and (optional) maps of entries for specific hardware types (e.g. FPGA). These extended entries are also implemented as a map with a processing unit definition as the key.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__execution_need.png"/>
+ <img src="images/model_sw_activity_graph_items__execution_need.png" />
</p>
<p>A simple approach (equivalent to the
<i>RunnableInstructions</i> in older versions of the AMALTHEA model) is the specification of the "number of generic instructions" that have to be executed. Together with the hardware feature "instructions per cycle (IPC)" and the frequency of a processing unit it permits the calculation of the execution time on a specific processing unit.
</p>
<p>
- <img src="images/model_sw_hw_features_executionneed.png"/>
+ <img src="images/model_sw_hw_features_executionneed.png" />
</p>
<p>With the generic concept of
<i>ExecutionNeeds</i> it is also possible to describe more detailed characteristics, e.g. instruction mixes of floating point operations, integer operations, load/store operations, etc., or any other relevant aspect.
@@ -8207,7 +8432,7 @@
<h4><a id="section3.14.10.6"></a>Calls and AUTOSAR communication</h4>
<p>
- <img class="scale" src="images/model_sw_activity_graph_items__calls.png"/>
+ <img class="scale" src="images/model_sw_activity_graph_items__calls.png" />
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -8222,7 +8447,7 @@
<i>Runnable</i>.
</td>
</tr>
- <tr/>
+ <tr />
<tr>
<td colspan="1" rowspan="1">
<i>SenderReceiverCommunication</i>
@@ -8258,7 +8483,7 @@
<h4><a id="section3.14.10.7"></a>Label Access</h4>
<p>
- <img class="scale" src="images/model_sw_activity_graph_items__label_access.png"/>
+ <img class="scale" src="images/model_sw_activity_graph_items__label_access.png" />
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -8318,7 +8543,7 @@
<h4><a id="section3.14.10.8"></a>Channel Access</h4>
<p>
- <img src="images/model_sw_activity_graph_items__channel_access.png"/>
+ <img src="images/model_sw_activity_graph_items__channel_access.png" />
</p>
<p>Common attributes:</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
@@ -8393,7 +8618,7 @@
<h4><a id="section3.14.10.9"></a>Semaphore Access</h4>
<p>
- <img src="images/model_sw_activity_graph_items__semaphore_access.png"/>
+ <img src="images/model_sw_activity_graph_items__semaphore_access.png" />
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -8426,7 +8651,7 @@
<h4><a id="section3.14.10.10"></a>Mode Label Access</h4>
<p>
- <img src="images/model_sw_activity_graph_items__mode_label_access.png"/>
+ <img src="images/model_sw_activity_graph_items__mode_label_access.png" />
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -8469,7 +8694,7 @@
<i>Event Stimulus</i>.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__triggers.png"/>
+ <img src="images/model_sw_activity_graph_items__triggers.png" />
</p>
@@ -8514,7 +8739,7 @@
<i>Set Event</i>.
</p>
<p>
- <img src="images/model_sw_osevents.png"/>
+ <img src="images/model_sw_osevents.png" />
</p>
<p>With
<i>Wait Event</i> the process waits for a number of events (defined in the
@@ -8537,7 +8762,7 @@
<h4><a id="section3.14.10.17"></a>Statistical Values</h4>
<p>
- <img src="images/model_sw_statistic.png"/>
+ <img src="images/model_sw_statistic.png" />
</p>
<p>It is possible to add to different elements (as shown in the picture above) different types of statistical values. These values can be used to describe in more detail the following behaviors:</p>
<ul>
@@ -8555,7 +8780,7 @@
<h3><a id="section3.14.11">3.14.11 </a>Modes</h3>
<p>The next diagram shows the overall picture, the sub chapters describe the details.</p>
<p>
- <img class="scale" src="images/model_sw_modes_overview.png"/>
+ <img class="scale" src="images/model_sw_modes_overview.png" />
</p>
<p>Modes are mainly used in
<i>Mode Conditions</i> to describe the conditional execution of a
@@ -8567,7 +8792,7 @@
<h4><a id="section3.14.11.1"></a>Modes and Mode Labels</h4>
<p>
- <img class="scale" src="images/model_sw_modes.png"/>
+ <img class="scale" src="images/model_sw_modes.png" />
</p>
<p>The
<i>Mode</i> element denotes the type and the possible values of a specific system state. The subclasses
@@ -8634,13 +8859,13 @@
<br>The ModeValueMap represents the system state that has to be provided as an external input, e.g. from a simulation or analysis tool.
</p>
<p>
- <img class="scale" src="images/model_sw_modecondition.png"/>
+ <img class="scale" src="images/model_sw_modecondition.png" />
</p>
<h3><a id="section3.14.12">3.14.12 </a>Process Prototypes</h3>
<p>
- <img class="scale" src="images/model_sw_process_prototype.png"/>
+ <img class="scale" src="images/model_sw_process_prototype.png" />
</p>
<p>In addition to the Task elements, the AMALTHEA model contains an element process prototype.
<br>This prototype can be used to define raw data of a task. It can be used to specify access to
@@ -8648,7 +8873,7 @@
<br>order of the access. These prototypes are then processed by different algorithms. The algorithms are creating the tasks, are filling, verifying or modifying the data based on their different checks. The final result of this processing are tasks, which are corresponding to the data of the prototypes.
</p>
<p>
- <img src="images/process_prototypes.png"/>
+ <img src="images/process_prototypes.png" />
</p>
<p>These tasks are representing the current state and can be further processed, for example to generate code or further simulation. With the process prototypes available in the model, it is possible to define the structure of the software in an early development phase. The implementation at that moment is open and not yet completed, but the general idea can be verified.
<br>Another issue can be the distribution to a multi-core system, coming from a single-core system. Therefore the activity graph can be analyzed and computed to get the right order and parallelization of the elements and dependencies.
@@ -8661,7 +8886,7 @@
<i>Inter Process Activations</i>.
</p>
<p>
- <img src="images/model_sw_process_chain.png"/>
+ <img src="images/model_sw_process_chain.png" />
</p>
<p>The following attributes are describing a process chain:</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
@@ -8686,7 +8911,7 @@
<h3><a id="section3.14.14">3.14.14 </a>Custom Entities</h3>
<p>
- <img src="images/model_custom_entity.png"/>
+ <img src="images/model_custom_entity.png" />
</p>
<p>The
<i>CustomEntity</i> element defines a way to add not yet available elements of the software model in a generic way. The only contained attribute defines the type of the entity by setting it as a
@@ -8707,11 +8932,11 @@
<li>asilLevel</li>
</ul>
<p>
- <img src="images/model_section.png"/>
+ <img src="images/model_section.png" />
</p>
<p>With this type of information available, the complexity of mapping software components to memories can be reduced. The next picture gives an overview about the general idea of the mapping with Sections.</p>
<p>
- <img src="images/model_section_memory.png"/>
+ <img src="images/model_section_memory.png" />
</p>
@@ -8721,7 +8946,7 @@
<h4><a id="section3.14.16.1"></a>Overview</h4>
<p>The purpose of following model elements is to describe a high level data flow. Parameters of runnables (or services) and specific call arguments allow to model a behavior that depends on the call tree but the detailed computation and the control flow within a runnable are not taken into account. Therefore only "potential" influences are modeled. The following picture shows this data flow with dashed lines.</p>
<p>
- <img src="images/model_sw_dataflow_overview.png"/>
+ <img src="images/model_sw_dataflow_overview.png" />
</p>
@@ -8745,7 +8970,7 @@
</li>
</ul>
<p>
- <img src="images/model_sw_depends_on.png"/>
+ <img src="images/model_sw_depends_on.png" />
</p>
@@ -8769,7 +8994,7 @@
</li>
</ul>
<p>
- <img src="images/model_sw_data_dependency.png"/>
+ <img src="images/model_sw_data_dependency.png" />
</p>
</article>
@@ -8812,7 +9037,7 @@
<li>AMALTHEA Export – Exports of the models.</li>
</ul>
<p>
- <img src="images/app4mc_platform_features.png"/>
+ <img src="images/app4mc_platform_features.png" />
</p>
<p>For all features there also exists an SDK containing the sources. If you install the AMALTHEA Tool Platform SDK, it contains all features as SDKs.</p>
@@ -8824,10 +9049,165 @@
</p>
-<h2><a id="section4.2">4.2 </a>Model Validation</h2>
+<h2><a id="section4.2">4.2 </a>Model Visualization</h2>
-<h3><a id="section4.2.1">4.2.1 </a>Validation framework</h3>
+<h3><a id="section4.2.1">4.2.1 </a>Visualization framework</h3>
+ <p>The plug-in
+ <code>org.eclipse.app4mc.visualization.ui</code> provides a small framework to visualize model elements. It contains a view part
+ <code>VisualizationPart</code> that can be opened via
+ </p>
+ <ul>
+ <li>
+ <i>Window → Show View → Other... → APP4MC → APP4MC Visualizations</i>,
+ </li>
+ <li> or via right click on an element and selecting
+ <i>Open APP4MC Visualization</i>.
+ </li>
+ </ul>
+ <p>Via the context menu it is also possible to open multiple instances of the
+ <code>VisualizationPart</code>.
+ </p>
+ <p>On selecting a model element, the VisualizationPart is updated to render a corresponding visualization. The visualization to render is searched in the ModelVisualizationRegistry OSGi service. If multiple visualizations are registered, the first one will be selected by default, unless the user has selected another visualization before.</p>
+ <p>The visualization view has 3 buttons in the toolbar:</p>
+ <ol>
+ <li>
+ <b>Visualization dropdown</b><br>The dropdown contains all available visualizations for the current active selection. A click on the image will reload the visualization.
+ </li>
+ <li>
+ <b>Pin visualization</b><br>The selection handling will be disabled so the visualization gets not updated on model selection changes.
+ </li>
+ <li>
+ <b>Select model element</b><br>Selects the current visualized model element in the model editor. Useful for example if a visualization is pinned and the selection in the model editor changed.
+ </li>
+ </ol>
+ <p>
+ <img src="images/visualization-view.png" />
+ </p>
+ <p>The whole red area can be used to render the visualization.</p>
+
+
+<h3><a id="section4.2.2">4.2.2 </a>Contributing a new model visualization</h3>
+ <p>To contribute a new visualization to the framework, the followings steps have to be done:</p>
+ <ol>
+ <li>Create a new plug-in for the visualization contribution.<br><br></li>
+ <li>Add at least the following dependencies:
+ <ul>
+ <li>Required Plug-ins
+ <ul>
+ <li>
+ <strong>org.eclipse.jface</strong><br>(to be able to contribute to the view)
+ </li>
+ </ul>
+ </li>
+ <li>Imported Packages
+ <ul>
+ <li>
+ <strong>org.eclipse.app4mc.amalthea.model</strong><br>(to get access to the model element that should be rendered)
+ </li>
+ <li>
+ <strong>org.eclipse.app4mc.visualization.ui.registry</strong><br>(needed to import the necessary interface)
+ </li>
+ <li>
+ <strong>org.osgi.service.component.annotations</strong><br>(needed to get access to the OSGi DS annotations)<br><br>
+ </li>
+ </ul>
+ </li>
+ </ul>
+ </li>
+ <li>Create a new Visualization implementation that follows this pattern:</li>
+ </ol>
+ <pre xml:space="preserve"><code>@Component(property= {
+ "name=Runnable Visualization",
+ "description=Render the name of the Runnable"
+})
+public class SampleVisualization implements Visualization {
+
+ @PostConstruct
+ public void createVisualization(Runnable runnable, Composite parent) {
+ Label label = new Label(parent, SWT.NONE);
+ label.setText(runnable.getName());
+ }
+}
+</code></pre>
+ <p><!-- --></p>
+ <p>To register the Visualization implementation the framework utilizes OSGi DS. This means:</p>
+ <ul>
+ <li>The class needs to implement
+ <strong>Visualization</strong> (only a marker interface needed for OSGi service injection)
+ </li>
+ <li>The class needs to be annotated with
+ <strong>@Component</strong> (ensure DS annotation support is enabled in your workspace)
+ </li>
+ </ul>
+ <p>The Visualization will automatically be registered in the
+ <strong>ModelVisualizationRegistry</strong> with the appropriate meta-data. The meta-data is extracted from the class definition and the method annotated with
+ <strong>@PostConstruct</strong>. Additionally information can be provided via component properties on the
+ <strong>@Component</strong> annotation.
+ </p>
+ <p>The following component properties are supported:</p>
+ <dl>
+ <dt>id</dt>
+ <dd>Defaults to the fully qualified class name of the service.
+ <br>Used to uniquely identify the last selected visualization.
+ </dd>
+ </dl>
+ <dl>
+ <dt>name</dt>
+ <dd>Defaults to the simple class name of the service.
+ <br>Used in the visualization dropdown as label of the menu item.
+ </dd>
+ </dl>
+ <dl>
+ <dt>description</dt>
+ <dd>Defaults to null.
+ <br>Used in the visualization dropdown as tooltip of the menu item.
+ </dd>
+ </dl>
+ <dl>
+ <dt>type</dt>
+ <dd>Defaults to the type of the first parameter of the @PostConstruct method.
+ <br>Used to register the visualizations for a given model type.
+ <br>
+ <b>Note: It is not recommended to override the type configuration.</b>
+ </dd>
+ </dl>
+ <p>The rendering is triggered via Eclipse injection mechanisms. Therefore a method annotated with
+ <b>@PostConstruct</b> needs to be created. This method needs at least two parameters in the following order:
+ </p>
+ <ol>
+ <li>
+ <b>Model type</b> or
+ <b>java.util.List<Model type></b><br>The first parameter needs to be the type or a List of the type that should be handled by this Visualization.
+ </li>
+ <li>
+ <b>Composite</b><br>The parent Composite on which the rendering should be performed.
+ </li>
+ </ol>
+ <p>So the following method signatures would be valid for Visualizations for Runnable model elements:</p>
+ <pre xml:space="preserve"><code>@PostConstruct
+public void createVisualization(Runnable runnable, Composite parent) {}
+
+@PostConstruct
+public void createVisualization(List<Runnable> runnable, Composite parent) {}
+</code></pre>
+ <p><!-- --></p>
+ <p>You can specify additional parameters that should be injected. Only the first parameter has a semantic to be able to extract the model type for which the Visualization is implemented.</p>
+ <p>Additionally a method annotated with
+ <strong>@PreDestroy</strong> can be added that gets called before the Visualization is disposed. This gives the opportunity to clean up resources if necessary.
+ </p>
+ <p>As the service instance creation is done by the OSGi Service Component Runtime, the following information needs to be considered with regards to injection:</p>
+ <ol>
+ <li>You can use @Reference to get other OSGi services injected.</li>
+ <li>There is no field or constructor injection available via Eclipse injection.<br>(usage of @Inject on fields or constructors will not work)</li>
+ <li>In general you should not use fields/members to store rendering related information on an instance level.</li>
+ </ol>
+
+
+<h2><a id="section4.3">4.3 </a>Model Validation</h2>
+
+
+<h3><a id="section4.3.1">4.3.1 </a>Validation framework</h3>
<p>APP4MC contains a flexible framework based on standard EMF validations.</p>
<p>The main plugins:</p>
<dl>
@@ -8844,18 +9224,18 @@
</dl>
-<h3><a id="section4.2.2">4.2.2 </a>Validations</h3>
+<h3><a id="section4.3.2">4.3.2 </a>Validations</h3>
<p>Validations have to implement the IValidation interface. Additional information is specified with annotations:</p>
<ul>
<li>@Validation</li>
</ul>
<p>Example:</p>
<p>
- <img src="images/code_validation_1.png"/>
+ <img src="images/code_validation_1.png" />
</p>
-<h3><a id="section4.2.3">4.2.3 </a>Profiles</h3>
+<h3><a id="section4.3.3">4.3.3 </a>Profiles</h3>
<p>Profiles have to implement the IProfile interface. Details are specified with the following annotations:</p>
<ul>
<li>@Profile</li>
@@ -8864,17 +9244,17 @@
</ul>
<p>Example:</p>
<p>
- <img src="images/code_profile_1.png"/>
+ <img src="images/code_profile_1.png" />
</p>
<p>
- <img src="images/code_profile_2.png"/>
+ <img src="images/code_profile_2.png" />
</p>
-<h2><a id="section4.3">4.3 </a>Model Workflow</h2>
+<h2><a id="section4.4">4.4 </a>Model Workflow</h2>
-<h3><a id="section4.3.1">4.3.1 </a>Introduction</h3>
+<h3><a id="section4.4.1">4.4.1 </a>Introduction</h3>
<p>The APP4MC AMALTHEA platform provides the option to define a workflow on a model with different steps. AMALTHEA provides a simple API for implementing such a workflow. The definition of the workflow can be done either in plain Java or any other language, which is able to access Java classes.</p>
<p>The
<a href="https://www.eclipse.org/ease/">EASE</a> framework provides a scripting environment inside of Eclipse with different script engines like Rhino (JavaScript), Jython or Groovy. AMALTHEA provides a sample and some convenient helpers based on EASE to define and execute such a workflow.
@@ -8897,13 +9277,13 @@
</dl>
-<h3><a id="section4.3.2">4.3.2 </a>General Structure</h3>
+<h3><a id="section4.4.2">4.4.2 </a>General Structure</h3>
<p>The plugin
<i>org.eclipse.app4mc.amalthea.workflow.core</i> provides a general abstract class
<code>org.eclipse.app4mc.amalthea.workflow.core.WorkflowComponent</code> which can be used to extend in the case to provide or implement an own workflow step.
</p>
<p>
- <img src="images/uml_workflow_component.png"/>
+ <img src="images/uml_workflow_component.png" />
</p>
<p>It provides the following features:</p>
<ul>
@@ -8918,14 +9298,14 @@
<code>org.eclipse.app4mc.amalthea.workflow.core.WorkflowComponent</code>.
</p>
<p>
- <img src="images/uml_context.png"/>
+ <img src="images/uml_context.png" />
</p>
<p>The class
<code>org.eclipse.app4mc.amalthea.workflow.core.DefaultContext</code> is a default implementation using an internal
<code>java.util.HashMap</code> to store the data.
</p>
<p>
- <img src="images/uml_default_context.png"/>
+ <img src="images/uml_default_context.png" />
</p>
<p>A sample workflow implementation with two components
<code>WorkfklowComponent1</code> and
@@ -8935,7 +9315,7 @@
<code>org.eclipse.app4mc.amalthea.workflow.core.WorkflowComponent</code>.
</p>
<p>
- <img src="images/uml_workflow_overview.png"/>
+ <img src="images/uml_workflow_overview.png" />
</p>
<p>The next step is to create a
<i>WorkflowDefinition</i>, which needs to do the following steps:
@@ -8964,21 +9344,21 @@
<br>The following diagram is showing this flow in more detail:
</p>
<p>
- <img src="images/uml_workflow_overview_sequence.png"/>
+ <img src="images/uml_workflow_overview_sequence.png" />
</p>
-<h3 id="workflow-basic-components"><a id="section4.3.3">4.3.3 </a>Available Basic Components</h3>
+<h3 id="workflow-basic-components"><a id="section4.4.3">4.4.3 </a>Available Basic Components</h3>
<p>The APP4MC AMALTHEA platform ships with some available workflow steps, which can be used out of the box.</p>
-<h4><a id="section4.3.3.1"></a>Model Reader</h4>
+<h4><a id="section4.4.3.1"></a>Model Reader</h4>
<p>The component
<code>org.eclipse.app4mc.amalthea.workflow.component.ModelReader</code> reads a given list of files containing AMALTHEA models. The result model is stored in the
<code>AMALTHEA_SLOT</code> as default. Please refer the JavaDoc for more details.
</p>
<p>
- <img src="images/uml_model_reader.png"/>
+ <img src="images/uml_model_reader.png" />
</p>
<p>Simple configuration inside of a workflow can look like the following:</p>
<pre xml:space="preserve"><code>ModelReader reader = new ModelReader();
@@ -8988,7 +9368,7 @@
<p><!-- --></p>
-<h4><a id="section4.3.3.2"></a>Model Writer</h4>
+<h4><a id="section4.4.3.2"></a>Model Writer</h4>
<p>The component
<code>org.eclipse.app4mc.amalthea.workflow.component.ModelWriter</code> writes a given AMALTHEA model to either one file or several files. As default the current available model in the
<code>AMALTHEA_SLOT</code> is taken.
@@ -9009,7 +9389,7 @@
</li>
</ul>
<p>
- <img src="images/uml_model_writer.png"/>
+ <img src="images/uml_model_writer.png" />
</p>
<p>Sample configuration inside of a workflow:</p>
<pre xml:space="preserve"><code>ModelWriter writer = new ModelWriter();
@@ -9020,7 +9400,7 @@
<p><!-- --></p>
-<h4><a id="section4.3.3.3"></a>Add Schedule Points</h4>
+<h4><a id="section4.4.3.3"></a>Add Schedule Points</h4>
<p>The component
<code>org.eclipse.app4mc.amalthea.workflow.component.AddSchedulePoints</code> modifies a given model (default in the
<code>AMALTHEA_SLOT</code>) in that way, that in the
@@ -9030,7 +9410,7 @@
<code>org.eclipse.app4mc.amalthea.model.sw.SchedulePoint</code>.
</p>
<p>
- <img src="images/uml_add_schedule_points.png"/>
+ <img src="images/uml_add_schedule_points.png" />
</p>
<p>Sample configuration inside of a workflow:</p>
<pre xml:space="preserve"><code>AddSchedulePoints addSchedulePoints = new AddSchedulePoints();
@@ -9039,7 +9419,7 @@
<p><!-- --></p>
-<h3><a id="section4.3.4">4.3.4 </a>EASE modules</h3>
+<h3><a id="section4.4.4">4.4.4 </a>EASE modules</h3>
<p>The purpose of using EASE is to provide one way to define and run a workflow for a model.
<br>Therefore APP4MC provides some helper methods to be used in the
<a href="https://www.eclipse.org/ease/">EASE</a> scripting environment.
@@ -9050,7 +9430,7 @@
</p>
-<h4><a id="section4.3.4.1"></a>Workflow Module</h4>
+<h4><a id="section4.4.4.1"></a>Workflow Module</h4>
<p>The workflow module provides some helpers regarding running a APP4MC workflow definition based on EASE.
<br>The general module can be loaded with the following line:
</p>
@@ -9086,7 +9466,7 @@
</table>
-<h3><a id="section4.3.5">4.3.5 </a>MWE2 Workflow</h3>
+<h3><a id="section4.4.5">4.4.5 </a>MWE2 Workflow</h3>
<p>The plugin
<i>org.eclipse.app4mc.amalthea.workflow.
<strong>mwe2</strong>
@@ -9105,7 +9485,7 @@
<li>Provides some convenient methods to retrieve the model from the context, get a copy of the model or store the model in the context.</li>
</ul>
<p>
- <img src="images/uml_workflow_component_mwe2.png"/>
+ <img src="images/uml_workflow_component_mwe2.png" />
</p>
<p>To use the AMALTHEA model workflow component, currently the following dependencies are needed in addition to the AMALTHEA model plugins:</p>
<ul>
@@ -9116,19 +9496,19 @@
</ul>
-<h4><a id="section4.3.5.1"></a>MWE2 Components</h4>
+<h4><a id="section4.4.5.1"></a>MWE2 Components</h4>
<p>The APP4MC AMALTHEA platform ships with some available workflow steps for usage together with MWE2.
<br>Note: To use the components below as shown in the corresponding configurations, the classes must be imported!
</p>
-<h5><a id="section4.3.5.1.1"></a>Reader</h5>
+<h5><a id="section4.4.5.1.1"></a>Reader</h5>
<p>The component
<code>org.eclipse.app4mc.amalthea.workflow.mwe2.util.AmaltheaReader</code> reads a given list of files containing AMALTHEA models. The result model is stored in the
<i>AMALTHEA_SLOT</i> as default.
</p>
<p>
- <img src="images/uml_model_reader_mwe2.png"/>
+ <img src="images/uml_model_reader_mwe2.png" />
</p>
<p>Sample configuration inside of a workflow:</p>
<pre xml:space="preserve"><code>component = AmaltheaReader {
@@ -9138,7 +9518,7 @@
</code></pre>
-<h5><a id="section4.3.5.1.2"></a>Writer</h5>
+<h5><a id="section4.4.5.1.2"></a>Writer</h5>
<p>The component
<code>org.eclipse.app4mc.amalthea.workflow.mwe2.util.AmaltheaWriter</code> writes a given AMALTHEA model to either one file or several files. As default the current available model in the
<i>AMALTHEA_SLOT</i> is taken.
@@ -9150,7 +9530,7 @@
<li>String fileName, if output is set to split files the different models are separated by an additional suffix in the name indicating the contained model.</li>
</ul>
<p>
- <img src="images/uml_model_writer_mwe2.png"/>
+ <img src="images/uml_model_writer_mwe2.png" />
</p>
<p>Sample configuration inside of a workflow:</p>
<pre xml:space="preserve"><code>component = AmaltheaWriter {
@@ -9161,7 +9541,7 @@
</code></pre>
-<h5><a id="section4.3.5.1.3"></a>Add Schedule Points</h5>
+<h5><a id="section4.4.5.1.3"></a>Add Schedule Points</h5>
<p>The component
<code>org.eclipse.app4mc.amalthea.workflow.mwe2.util.AddSchedulePoints</code> modifies a given model (default in the AMALTHEA_SLOT) in that way, that in the
<code>org.eclipse.app4mc.amalthea.model.SWModel</code> the contained
@@ -9170,7 +9550,7 @@
<code>org.eclipse.app4mc.amalthea.model.SchedulePoint</code>.
</p>
<p>
- <img src="images/uml_add_schedule_points_mwe2.png"/>
+ <img src="images/uml_add_schedule_points_mwe2.png" />
</p>
<p>Sample configuration inside of a workflow:</p>
<pre xml:space="preserve"><code>component = AddSchedulePoints {
@@ -9178,7 +9558,7 @@
</code></pre>
-<h3><a id="section4.3.6">4.3.6 </a>Current Limitations / Open Points</h3>
+<h3><a id="section4.4.6">4.4.6 </a>Current Limitations / Open Points</h3>
<p>As there are two options available (Basic Java/EASE and MWE2 based) for running a workflow, there are currently also some limitations existent. The following table should help you to chose the right base:</p>
<table class="classic">
<tr>
@@ -9260,11 +9640,11 @@
</code></pre>
-<h3><a id="section4.3.7">4.3.7 </a>Adding a new workflow component</h3>
+<h3><a id="section4.4.7">4.4.7 </a>Adding a new workflow component</h3>
<p>Below you will find a sample how to add and implement a new workflow component.</p>
-<h3><a id="section4.3.8">4.3.8 </a>Create project</h3>
+<h3><a id="section4.4.8">4.4.8 </a>Create project</h3>
<ol>
<li>Add a new plugin project with the name
<i>my.sample.workflow</i>
@@ -9293,7 +9673,7 @@
<p><!-- --></p>
-<h4><a id="section4.3.8.1"></a>Execute the new component in the available sample</h4>
+<h4><a id="section4.4.8.1"></a>Execute the new component in the available sample</h4>
<p>The previous created class
<code>my.sample.workflow.HelloWorld</code> should be added to a workflow.
<br>Therefore we are using the provided sample project from APP4MC
@@ -9341,10 +9721,10 @@
<p><!-- --></p>
-<h2><a id="section4.4">4.4 </a>Model Migration</h2>
+<h2><a id="section4.5">4.5 </a>Model Migration</h2>
-<h3><a id="section4.4.1">4.4.1 </a>Technologies used</h3>
+<h3><a id="section4.5.1">4.5.1 </a>Technologies used</h3>
<p>For migration of AMALTHEA models, plane java approach has been used (
<em>non EMF</em>) along with the following 3rd party libraries :
</p>
@@ -9356,7 +9736,7 @@
</ul>
-<h3><a id="section4.4.2">4.4.2 </a>Framework for model migration</h3>
+<h3><a id="section4.5.2">4.5.2 </a>Framework for model migration</h3>
<p>Using the above specified technologies, eclipse plugin based framework for model migration is developed.</p>
<ul>
<li>
@@ -9368,7 +9748,7 @@
</ul>
-<h3><a id="section4.4.3">4.4.3 </a>Components of Model Migration Framework</h3>
+<h3><a id="section4.5.3">4.5.3 </a>Components of Model Migration Framework</h3>
<ul>
<li>Converters</li>
<li>Cache Builders</li>
@@ -9408,16 +9788,16 @@
<li>enabled : By specifying true/false - > specific converter invocation can be enabled or disabled</li>
</ul>
<p>
- <img class="gray_scale" src="images/converters_content.png"/>
+ <img class="gray_scale" src="images/converters_content.png" />
</p>
<ul>
<li>Converter dependencies : A Converter can be dependent on other Converter components. During the execution of a specific Converter component first its dependencies are invoked and then dependent converter is invoked.</li>
</ul>
<p>Converter dependencies can be specified at the extension level in the following way:</p>
<p>
- <img class="gray_scale" src="images/converters_dependencies.png"/>
+ <img class="gray_scale" src="images/converters_dependencies.png" />
<br>
- <img class="gray_scale" src="images/converters_dependencies_details.png"/>
+ <img class="gray_scale" src="images/converters_dependencies_details.png" />
</p>
<p>
<strong>Cache Builders:</strong> This component is responsible for building the required cache, by querying the input models or storing the necessary information - > before executing the Converters for specific migration step (
@@ -9444,7 +9824,7 @@
<p>Each Cache Builder component is tightly coupled to a specific AMALTHEA model version </p>
</blockquote>
<p>
- <img class="gray_scale" src="images/cache_builder.png"/>
+ <img class="gray_scale" src="images/cache_builder.png" />
</p>
<p>
<strong>Pre Processor:</strong> This component is responsible for fetching/modifying specific information before invocation of Cache Builders/Converters components.
@@ -9467,7 +9847,7 @@
<p>Each Pre processor component is tightly coupled to the specified AMALTHEA model versions</p>
</blockquote>
<p>
- <img class="gray_scale" src="images/pre_processor.png"/>
+ <img class="gray_scale" src="images/pre_processor.png" />
</p>
<p>
<strong>Post Processor:</strong> This component is responsible for adding/modifying specific information after invocation of Cache Builders/Converters components for a specific migration step (
@@ -9489,7 +9869,7 @@
<li>output-model-version : AMALTHEA model version to which the model content is converted as a part of one of the migration step. There is a possibility to specify multiple output-model-version's.</li>
</ul>
<p>
- <img class="gray_scale" src="images/post_processor.png"/>
+ <img class="gray_scale" src="images/post_processor.png" />
</p>
<p>
<em>Example how Post-Processor's are invoked:</em>
@@ -9504,14 +9884,14 @@
<p>Flexibility of post-processors is, they are defined in a generalized way to specify in the direction which they should be invoked as a part of model migration.</p>
-<h4><a id="section4.4.3.1"></a>Model migration sequence</h4>
+<h4><a id="section4.5.3.1"></a>Model migration sequence</h4>
<p>Sequence in which various components are invoked during model migration</p>
<p>
- <img class="gray_scale" src="images/model_migration_sequence_diagram.png"/>
+ <img class="gray_scale" src="images/model_migration_sequence_diagram.png" />
</p>
-<h3><a id="section4.4.4">4.4.4 </a>How to add custom Model Migration components</h3>
+<h3><a id="section4.5.4">4.5.4 </a>How to add custom Model Migration components</h3>
<p>As described above, Model Migration framework is part of
<em>
<strong>org.eclipse.app4mc.amalthea.converters.common</strong>
@@ -9519,7 +9899,7 @@
</p>
<p>Below are the various extension points available as a part of Model Migration framework: </p>
<p>
- <img class="gray_scale" src="images/converters_extension_points.png"/>
+ <img class="gray_scale" src="images/converters_extension_points.png" />
</p>
<p>For defining custom Model Migration, minimum requirement is to define a extension for
<code>org.eclipse.app4mc.amalthea.model.converters</code> extension point and specify the class which has the implementation for migrating the model contents.
@@ -9527,11 +9907,11 @@
<p>CacheBuilders, PreProcessor, PostProcessor components are optional - > based on the scenarios to migrate the model elements, it must me decided if these components are required.</p>
-<h3 id="meta-model-changes"><a id="section4.4.5">4.4.5 </a>AMALTHEA meta model changes</h3>
+<h3 id="meta-model-changes"><a id="section4.5.5">4.5.5 </a>AMALTHEA meta model changes</h3>
<p>Based on the changes in AMALTHEA meta model across various releases, below description contains the differences in detail which are considered for model migration:</p>
-<h4><a id="section4.4.5.1"></a>Version APP4MC 0.7.0 to App4MC 0.7.1</h4>
+<h4><a id="section4.5.5.1"></a>Version APP4MC 0.7.0 to App4MC 0.7.1</h4>
<p>Below are the changes in the meta model from APP4MC 0.7.0 to APP4MC 0.7.1</p>
<p>
<strong>Change in the namespace:</strong>
@@ -9831,7 +10211,7 @@
</table>
-<h4><a id="section4.4.5.2"></a>Version APP4MC 0.7.1 to APP4MC 0.7.2</h4>
+<h4><a id="section4.5.5.2"></a>Version APP4MC 0.7.1 to APP4MC 0.7.2</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -10264,7 +10644,7 @@
<td colspan="1" rowspan="1">OsBuffering</td>
<td colspan="1" rowspan="1">OS Model</td>
<td colspan="1" rowspan="1">OsBuffering elements are migrated as OsDataConsistency elements. Below steps describe the criteria considered for migration of data :
- <img class="gray_scale" src="images/osbuffering_migration_071_072.png"/>
+ <img class="gray_scale" src="images/osbuffering_migration_071_072.png" />
</td>
</tr>
<tr>
@@ -10283,11 +10663,11 @@
<em>undefined</em>" (default)
</td>
</tr>
- <tr/>
+ <tr />
</table>
-<h4><a id="section4.4.5.3"></a>Version APP4MC 0.7.2 to APP4MC 0.8.0</h4>
+<h4><a id="section4.5.5.3"></a>Version APP4MC 0.7.2 to APP4MC 0.8.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -10524,7 +10904,7 @@
</table>
-<h4><a id="section4.4.5.4"></a>Version APP4MC 0.8.0 to APP4MC 0.8.1</h4>
+<h4><a id="section4.5.5.4"></a>Version APP4MC 0.8.0 to APP4MC 0.8.1</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -10814,7 +11194,7 @@
</table>
-<h4><a id="section4.4.5.5"></a>Version APP4MC 0.8.1 to APP4MC 0.8.2</h4>
+<h4><a id="section4.5.5.5"></a>Version APP4MC 0.8.1 to APP4MC 0.8.2</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -10838,7 +11218,7 @@
</table>
-<h4><a id="section4.4.5.6"></a>Version APP4MC 0.8.2 to APP4MC 0.8.3</h4>
+<h4><a id="section4.5.5.6"></a>Version APP4MC 0.8.2 to APP4MC 0.8.3</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -11102,7 +11482,7 @@
</table>
-<h4><a id="section4.4.5.7"></a>Version APP4MC 0.8.3 to APP4MC 0.9.0</h4>
+<h4><a id="section4.5.5.7"></a>Version APP4MC 0.8.3 to APP4MC 0.9.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -11457,7 +11837,7 @@
</table>
-<h4><a id="section4.4.5.8"></a>Version APP4MC 0.9.0 to APP4MC 0.9.1</h4>
+<h4><a id="section4.5.5.8"></a>Version APP4MC 0.9.0 to APP4MC 0.9.1</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -11502,7 +11882,7 @@
</table>
-<h4><a id="section4.4.5.9"></a>Version APP4MC 0.9.1 to APP4MC 0.9.2</h4>
+<h4><a id="section4.5.5.9"></a>Version APP4MC 0.9.1 to APP4MC 0.9.2</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -11526,7 +11906,7 @@
</table>
-<h4><a id="section4.4.5.10"></a>Version APP4MC 0.9.2 to APP4MC 0.9.3</h4>
+<h4><a id="section4.5.5.10"></a>Version APP4MC 0.9.2 to APP4MC 0.9.3</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -11832,7 +12212,7 @@
</table>
-<h4><a id="section4.4.5.11"></a>Version APP4MC 0.9.3 to APP4MC 0.9.4</h4>
+<h4><a id="section4.5.5.11"></a>Version APP4MC 0.9.3 to APP4MC 0.9.4</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -12142,7 +12522,7 @@
</table>
-<h4><a id="section4.4.5.12"></a>Version APP4MC 0.9.4 to APP4MC 0.9.5</h4>
+<h4><a id="section4.5.5.12"></a>Version APP4MC 0.9.4 to APP4MC 0.9.5</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -12381,7 +12761,7 @@
</table>
-<h4><a id="section4.4.5.13"></a>Version APP4MC 0.9.5 to APP4MC 0.9.6</h4>
+<h4><a id="section4.5.5.13"></a>Version APP4MC 0.9.5 to APP4MC 0.9.6</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -12512,7 +12892,7 @@
</table>
-<h4><a id="section4.4.5.14"></a>Version APP4MC 0.9.6 to APP4MC 0.9.7</h4>
+<h4><a id="section4.5.5.14"></a>Version APP4MC 0.9.6 to APP4MC 0.9.7</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -12708,7 +13088,31 @@
</table>
-<h2><a id="section4.5">4.5 </a>Model Utilities</h2>
+<h4><a id="section4.5.5.15"></a>Version APP4MC 0.9.7 to APP4MC 0.9.8</h4>
+ <p>
+ <strong>Change in the namespace:</strong>
+ </p>
+ <table class="classic" style="margin-left:40px">
+ <tr>
+ <td colspan="1" rowspan="1">
+ <strong>
+ <em>AMALTHEA Namespace (version App4MC 0.9.7)</em>
+ </strong>
+ </td>
+ <td colspan="1" rowspan="1">
+ <strong>
+ <em>AMALTHEA Namespace (version App4MC 0.9.8)</em>
+ </strong>
+ </td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">http://app4mc.eclipse.org/amalthea/0.9.7</td>
+ <td colspan="1" rowspan="1">http://app4mc.eclipse.org/amalthea/0.9.8</td>
+ </tr>
+ </table>
+
+
+<h2><a id="section4.6">4.6 </a>Model Utilities</h2>
<p>The model utilities provide implementations for typical usage scenarios:</p>
<dl>
<dt>
@@ -12764,7 +13168,7 @@
</p>
<ul>
<li>
- <a href="javadoc/model/util/SoftwareUtil.html">Software Utilities</a> - Call graph traversal, accesses, calls
+ <a href="javadoc/model/util/SoftwareUtil.html">Software Utilities</a> - Activity graph traversal, accesses, calls
</li>
<li>
<a href="javadoc/model/util/RuntimeUtil.html">Runtime Utilities</a> - Runtime, utilization, ticks
@@ -12784,17 +13188,17 @@
<p>The model utilities are part of the model plugin.</p>
-<h2><a id="section4.6">4.6 </a>Model Details</h2>
+<h2><a id="section4.7">4.7 </a>Model Details</h2>
-<h3><a id="section4.6.1">4.6.1 </a>Qualified name</h3>
+<h3><a id="section4.7.1">4.7.1 </a>Qualified name</h3>
<p>The following image shows the logical dependency between the name segments and describe the used notations. The details differ in terms of delimiters and encoding of the segments.</p>
<p>
- <img src="images/dev_model_qualified_name.png"/>
+ <img src="images/dev_model_qualified_name.png" />
</p>
-<h3><a id="section4.6.2">4.6.2 </a>Unique ID generation</h3>
+<h3><a id="section4.7.2">4.7.2 </a>Unique ID generation</h3>
<p>AMALTHEA uses a named based schema to reference other elements inside of a model.
<br>A custom implementation is used instead of the standard EMF mechanism, which uses an index based implementation.
<br>The target element id is identified by the following schema:
@@ -12807,24 +13211,24 @@
</code></pre>
-<h3><a id="section4.6.3">4.6.3 </a>Interfaces and base objects</h3>
+<h3><a id="section4.7.3">4.7.3 </a>Interfaces and base objects</h3>
<p>Several interfaces and abstract classes are defined in the common model.
<br>They provide basic common functionality for all objects, which are extending it, like the possibility to add
<i>CustomAttributes</i> or
<i>Tags</i>. Tags are available at different elements with the purpose to group them together or to annotate them.
</p>
<p>
- <img class="scale" src="images/model_common_interfaces_base_objects.png"/>
+ <img class="scale" src="images/model_common_interfaces_base_objects.png" />
</p>
-<h3><a id="section4.6.4">4.6.4 </a>Derived references</h3>
+<h3><a id="section4.7.4">4.7.4 </a>Derived references</h3>
<p>Some derived references are introduces to simplify a multi-level navigation. They are read only.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1" style="text-align:center">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -12895,21 +13299,21 @@
</table>
-<h3><a id="section4.6.5">4.6.5 </a>Transient back pointers</h3>
+<h3><a id="section4.7.5">4.7.5 </a>Transient back pointers</h3>
<p>AMALTHEA maintains a number of back pointers in the model. These transient references of an object 'point back' to the object referring to it. </p>
-<h4><a id="section4.6.5.1"></a>Container references</h4>
+<h4><a id="section4.7.5.1"></a>Container references</h4>
<p>Container references provide an easier access to the eContainer of an object.</p>
<p>The following references are specified as opposite references and can be modified.
<br>By the prefix "containing" they clearly indicate that a containment is changed.
</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Container reference</td>
<td colspan="1" rowspan="1" style="text-align: right;">Containment reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13055,10 +13459,10 @@
<p>The following references are specified as opposite references.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Container reference (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13092,10 +13496,10 @@
<p>The following container references are a special case. Because of the nested structure of sub elements the access to a dedicated container object is computed by traversing multiple eContainer references.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Container reference (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Containment reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13156,7 +13560,7 @@
</table>
-<h4><a id="section4.6.5.2"></a>References (via inverse index)</h4>
+<h4><a id="section4.7.5.2"></a>References (via inverse index)</h4>
<p>The inverse index allows easier and faster navigation, at the expense of greater memory consumption.
<br>The index is built on demand.
</p>
@@ -13167,10 +13571,10 @@
</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Back pointer (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13232,10 +13636,10 @@
<p>All elements with memory representation (e.g. labels, runnables) can be mapped to a memory via a MemoryMapping. The back pointers provides a list of all mapping elements that refer to a specific memory or a specific MemoryElement.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Back pointer (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13269,10 +13673,10 @@
<p>Labels and runnables can be located in exactly one section. The back pointer provides a list of all elements that are assigned to a specific section.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Back pointer (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13306,10 +13710,10 @@
<p>CustomEvent and InterProcessStimulus can have explicit triggers. The pointer is established from CustomEventTrigger and InterProcessTrigger. The back pointers provides easier access to the triggering runnables / processes.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Back pointer (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13343,10 +13747,10 @@
<p>Components define lists of included software elements (e.g. labels, runnables, semaphores). The back pointer provides access to all referring components.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Back pointer (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13422,10 +13826,10 @@
<p>Allocations refer to a scheduler (Scheduler, TaskScheduler, InterruptController). The back pointer provides access from the scheduler to the allocations.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Back pointer (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13487,10 +13891,10 @@
<p>Some other useful back references.</p>
<table>
<tr>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
<td colspan="1" rowspan="1">Back pointer (read only)</td>
<td colspan="1" rowspan="1" style="text-align: right;">Reference</td>
- <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1" />
</tr>
<tr>
<td colspan="1" rowspan="1">
@@ -13593,7 +13997,7 @@
</table>
-<h4><a id="section4.6.5.3"></a>Implementation</h4>
+<h4><a id="section4.7.5.3"></a>Implementation</h4>
<p>
<b>Xcore:</b>
</p>
@@ -13620,16 +14024,16 @@
<p><!-- --></p>
-<h4><a id="section4.6.5.4"></a>User Interface</h4>
+<h4><a id="section4.7.5.4"></a>User Interface</h4>
<p>
- <img src="images/model_transient_backpointer_ui.png"/>
+ <img src="images/model_transient_backpointer_ui.png" />
</p>
-<h2><a id="section4.7">4.7 </a>AMALTHEA Model Definition</h2>
+<h2><a id="section4.8">4.8 </a>AMALTHEA Model Definition</h2>
-<h3><a id="section4.7.1">4.7.1 </a>Ecore</h3>
+<h3><a id="section4.8.1">4.8.1 </a>Ecore</h3>
<p>The AMALTHEA model is specified with the Eclipse Modeling Framework (EMF). Eclipse/Java developers can use the AMALTHEA Platform where the generated Java classes of the model are included. The underlying Xcore definition of the model is part of the model plugin.</p>
<p>Both definitions (the original
<strong>Xcore file</strong> and the derived
@@ -13638,7 +14042,7 @@
</p>
-<h3><a id="section4.7.2">4.7.2 </a>XML Schema Definition (XSD)</h3>
+<h3><a id="section4.8.2">4.8.2 </a>XML Schema Definition (XSD)</h3>
<p>For developers that are not using Java or Eclipse, the specification is also provided in the XML and XSD format. The
<strong>XML related files</strong> can be found
<a href="zip/xml-definitions.zip">here</a>.
@@ -13653,35 +14057,35 @@
<i>Window -> Show View -> Other</i> and select Plug-Ins View in the folder Plug-in Development:
</p>
<p>
- <img src="images/show_plugins_view.png"/>
+ <img src="images/show_plugins_view.png" />
</p>
<p>Select the plug-in
<i>org.franca.core</i> and import it as
<i>Binary Project</i>:
</p>
<p>
- <img src="images/import_franca-core.png"/>
+ <img src="images/import_franca-core.png" />
</p>
<p>Open the model folder in the imported project, do a right click on the "franca.genmodel" file and select "Export Model".</p>
<p>
- <img src="images/export_model.png"/>
+ <img src="images/export_model.png" />
</p>
<p>Select the entry "XML Schema for XMI" in the first wizard page.</p>
<p>
- <img src="images/export_wizard1.png"/>
+ <img src="images/export_wizard1.png" />
</p>
<p>Navigate to the last wizard page, select "org.franca.core.franca" and click finish.</p>
<p>
- <img src="images/export_wizard2.png"/>
+ <img src="images/export_wizard2.png" />
</p>
<p>Now there the file "francaXMI.xsd" in the model folder.</p>
-<h2><a id="section4.8">4.8 </a>AMALTHEA Trace Database</h2>
+<h2><a id="section4.9">4.9 </a>AMALTHEA Trace Database</h2>
<p>The AMALTHEA Trace Database stores traces in a way that – especially for graphical user interfaces – information can be extracted efficiently.</p>
-<h3><a id="section4.8.1">4.8.1 </a>General information</h3>
+<h3><a id="section4.9.1">4.9.1 </a>General information</h3>
<p>The Database is stored as
<a href="http://www.sqlite.org/">SQLite Database</a> with extension
<strong>.atdb</strong>.
@@ -13689,7 +14093,7 @@
</p>
-<h3><a id="section4.8.2">4.8.2 </a>Database structure</h3>
+<h3><a id="section4.9.2">4.9.2 </a>Database structure</h3>
<p>The Database contains a mixture of statically and dynamically defined tables, which are described in more detail below:</p>
<ul>
<li>Static
@@ -13709,11 +14113,11 @@
</li>
</ul>
<p>
- <img src="images/atdb_erm_model.png"/>
+ <img src="images/atdb_erm_model.png" />
</p>
-<h4><a id="section4.8.2.1"></a>MetaInformation</h4>
+<h4><a id="section4.9.2.1"></a>MetaInformation</h4>
<p>MetaInformation contains a simple key-value list of information about the Trace:</p>
<ul>
<li>Fields
@@ -13740,7 +14144,7 @@
</ul>
-<h4><a id="section4.8.2.2"></a>Entity</h4>
+<h4><a id="section4.9.2.2"></a>Entity</h4>
<p>Entity contains information about the Entities used in the database.</p>
<ul>
<li>Fields
@@ -13764,7 +14168,7 @@
</ul>
-<h4><a id="section4.8.2.3"></a>EntityType</h4>
+<h4><a id="section4.9.2.3"></a>EntityType</h4>
<p>EntityType contains information about the EntityTypes used in the database.</p>
<ul>
<li>Fields
@@ -13791,7 +14195,7 @@
</ul>
-<h4><a id="section4.8.2.4"></a>EventType</h4>
+<h4><a id="section4.9.2.4"></a>EventType</h4>
<ul>
<li>Fields
<ul>
@@ -13803,7 +14207,7 @@
<p>The list of EventTypes which may occur can be retrieved from "AMALTHEA_BTF_Specification".</p>
-<h4><a id="section4.8.2.5"></a>EntitySource</h4>
+<h4><a id="section4.9.2.5"></a>EntitySource</h4>
<p>EntitySource contains information about which Entity has events caused by which other Entities.</p>
<ul>
<li>Fields
@@ -13815,7 +14219,7 @@
</ul>
-<h4><a id="section4.8.2.6"></a>EntityInstance</h4>
+<h4><a id="section4.9.2.6"></a>EntityInstance</h4>
<p>EntityInstance contains information about the time span an instance of an entity was active.</p>
<ul>
<li>Fields
@@ -13830,7 +14234,7 @@
</ul>
-<h4><a id="section4.8.2.7"></a>EventTables</h4>
+<h4><a id="section4.9.2.7"></a>EventTables</h4>
<p>There is a dynamic amount of EventTables. An EventTable contains events of 1 or more entities. The information which entity is part of which EventTable is stored in Entity-Table.</p>
<ul>
<li>Fields
@@ -13855,7 +14259,28 @@
<h1><a id="section5">5 </a>Release Notes</h1>
-<h2><a id="section5.1">5.1 </a>Eclipse APP4MC 0.9.7 (Jan 2020)</h2>
+<h2><a id="section5.1">5.1 </a>Eclipse APP4MC 0.9.8 (Apr 2020)</h2>
+ <p>Model handling</p>
+ <ul>
+ <li>Model migration support (0.9.7 -> 0.9.8)</li>
+ </ul>
+ <p>Product</p>
+ <ul>
+ <li>Eclipse target platform is updated to IDE 2019-12</li>
+ <li>New (extendable) visualization framework</li>
+ <li>Standard visualizations for runnables and deviations</li>
+ <li>Additional example models</li>
+ <li>EMF model viewers are available as update site</li>
+ <li>...</li>
+ </ul>
+ <p>
+ <em>For details see
+ <a href="https://projects.eclipse.org/projects/technology.app4mc/releases/0.9.8/bugs">Release 0.9.8 issues</a>
+ </em>
+ </p>
+
+
+<h2><a id="section5.2">5.2 </a>Eclipse APP4MC 0.9.7 (Jan 2020)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.6 -> 0.9.7)</li>
@@ -13878,7 +14303,7 @@
</p>
-<h2><a id="section5.2">5.2 </a>Eclipse APP4MC 0.9.6 (Oct 2019)</h2>
+<h2><a id="section5.3">5.3 </a>Eclipse APP4MC 0.9.6 (Oct 2019)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.5 -> 0.9.6)</li>
@@ -13903,7 +14328,7 @@
</p>
-<h2><a id="section5.3">5.3 </a>Eclipse APP4MC 0.9.5 (Jul 2019)</h2>
+<h2><a id="section5.4">5.4 </a>Eclipse APP4MC 0.9.5 (Jul 2019)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.4 -> 0.9.5)</li>
@@ -13922,7 +14347,7 @@
</p>
-<h2><a id="section5.4">5.4 </a>Eclipse APP4MC 0.9.4 (Apr 2019)</h2>
+<h2><a id="section5.5">5.5 </a>Eclipse APP4MC 0.9.4 (Apr 2019)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.3 -> 0.9.4)</li>
@@ -13942,7 +14367,7 @@
</p>
-<h2><a id="section5.5">5.5 </a>Eclipse APP4MC 0.9.3 (Jan 2019)</h2>
+<h2><a id="section5.6">5.6 </a>Eclipse APP4MC 0.9.3 (Jan 2019)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.2 -> 0.9.3)</li>
@@ -13961,7 +14386,7 @@
</p>
-<h2><a id="section5.6">5.6 </a>Eclipse APP4MC 0.9.2 (Oct 2018)</h2>
+<h2><a id="section5.7">5.7 </a>Eclipse APP4MC 0.9.2 (Oct 2018)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.1 -> 0.9.2)</li>
@@ -13979,7 +14404,7 @@
</p>
-<h2><a id="section5.7">5.7 </a>Eclipse APP4MC 0.9.1 (Jul 2018)</h2>
+<h2><a id="section5.8">5.8 </a>Eclipse APP4MC 0.9.1 (Jul 2018)</h2>
<p>General</p>
<ul>
<li>New Eclipse Oxygen.3a based product (compatible with Java 8, Java 9 and Java 10)</li>
@@ -13999,7 +14424,7 @@
</ul>
-<h2><a id="section5.8">5.8 </a>Eclipse APP4MC 0.9.0 (Apr 2018)</h2>
+<h2><a id="section5.9">5.9 </a>Eclipse APP4MC 0.9.0 (Apr 2018)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.8.3 -> 0.9.0)</li>
@@ -14015,7 +14440,7 @@
<i>Note: This is the first implementation of the new hardware model. It will be extended in the next version and (minor) changes are expected</i>.
-<h2><a id="section5.9">5.9 </a>Eclipse APP4MC 0.8.3 (Jan 2018)</h2>
+<h2><a id="section5.10">5.10 </a>Eclipse APP4MC 0.8.3 (Jan 2018)</h2>
<p>General</p>
<ul>
<li>New Eclipse Neon.3 based product</li>
@@ -14039,7 +14464,7 @@
</p>
-<h2><a id="section5.10">5.10 </a>Eclipse APP4MC 0.8.2 (Oct 2017)</h2>
+<h2><a id="section5.11">5.11 </a>Eclipse APP4MC 0.8.2 (Oct 2017)</h2>
<p>General</p>
<ul>
<li>Model changes (extensions)</li>
@@ -14064,7 +14489,7 @@
</p>
-<h2><a id="section5.11">5.11 </a>Eclipse APP4MC 0.8.1 (Jul 2017)</h2>
+<h2><a id="section5.12">5.12 </a>Eclipse APP4MC 0.8.1 (Jul 2017)</h2>
<p>General</p>
<ul>
<li>Model changes (extension and harmonization)</li>
@@ -14091,7 +14516,7 @@
</p>
-<h2><a id="section5.12">5.12 </a>Eclipse APP4MC 0.8.0 (Apr 2017)</h2>
+<h2><a id="section5.13">5.13 </a>Eclipse APP4MC 0.8.0 (Apr 2017)</h2>
<p>General</p>
<ul>
<li>Model changes (mainly to simplify handling)</li>
@@ -14116,7 +14541,7 @@
</p>
-<h2><a id="section5.13">5.13 </a>Eclipse APP4MC 0.7.2 (Jan 2017)</h2>
+<h2><a id="section5.14">5.14 </a>Eclipse APP4MC 0.7.2 (Jan 2017)</h2>
<p>General</p>
<ul>
<li>Smaller product definition (optional parts can be installed via update sites)</li>
@@ -14156,7 +14581,7 @@
</p>
-<h2><a id="section5.14">5.14 </a>Eclipse APP4MC 0.7.1 (Oct 2016)</h2>
+<h2><a id="section5.15">5.15 </a>Eclipse APP4MC 0.7.1 (Oct 2016)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.7.0 -> 0.7.1)</li>
@@ -14182,7 +14607,7 @@
</p>
-<h2><a id="section5.15">5.15 </a>Eclipse APP4MC 0.7.0 (Jul 2016)</h2>
+<h2><a id="section5.16">5.16 </a>Eclipse APP4MC 0.7.0 (Jul 2016)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (itea1.1.0 -> itea1.1.1 -> 0.7.0)</li>
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