New release 2.1.0: updated 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 a4ca5cf..e3a27f9 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: 2021-12-01
+date: 2022-05-02
hide_sidebar: "false"
---
@@ -11,13 +11,14 @@
### Help
---
-<a href="/help/latest/index.html" target="_blank">APP4MC 2.0.0 - Online Help</a> (opens in new tab)
+<a href="/help/latest/index.html" target="_blank">APP4MC 2.1.0 - Online Help</a> (opens in new tab)
-[APP4MC 2.0.0 - Help](https://archive.eclipse.org/app4mc/documents/help/app4mc-2.0.0-help.zip) (zip archive)
+[APP4MC 2.1.0 - Help](https://archive.eclipse.org/app4mc/documents/help/app4mc-2.1.0-help.zip) (zip archive)
<br>
#### Previous versions (zip archive only):
+[2.0.0](https://archive.eclipse.org/app4mc/documents/help/app4mc-2.0.0-help.zip) -
[1.2.0](https://archive.eclipse.org/app4mc/documents/help/app4mc-1.2.0-help.zip) -
[1.1.0](https://archive.eclipse.org/app4mc/documents/help/app4mc-1.1.0-help.zip) -
[1.0.0](https://archive.eclipse.org/app4mc/documents/help/app4mc-1.0.0-help.zip) -
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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new file mode 100644
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diff --git a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/images/model_common_conditions.png b/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/images/model_common_conditions.png
index 49137b6..32fec97 100644
--- a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/images/model_common_conditions.png
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diff --git a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/index.html b/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/index.html
index b3d9585..7204d3d 100644
--- a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/index.html
+++ b/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/index.html
@@ -1,7 +1,7 @@
<!DOCTYPE html>
<!--
- ! Copyright (c) 2017-2021 Robert Bosch GmbH and others.
+ ! Copyright (c) 2017-2022 Robert Bosch GmbH and others.
! All rights reserved. This program and the accompanying materials
! are made available under the terms of the Eclipse Public License 2.0
! which accompanies this distribution, and is available at
@@ -12,7 +12,7 @@
<head>
<meta charset="UTF-8">
- <title>APP4MC 2.0.0 Documentation</title>
+ <title>APP4MC 2.1.0 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">
@@ -227,25 +227,6 @@
<li><input type="checkbox" id="toc2.5" /><label for="toc2.5"><a href="#section2.5">Editors / Viewers</a></label>
<ul>
<li><label class="leaf"><a href="#section2.5.1">AMALTHEA Trace Database Metrics Viewer</a></label></li>
-<li><input type="checkbox" id="toc2.5.2" /><label for="toc2.5.2"><a href="#section2.5.2">Sirius Viewer</a></label>
-<ul>
-<li><label class="leaf"><a href="#section2.5.2.1">Activate capabilities for project</a></label></li>
-<li><input type="checkbox" id="toc2.5.2.2" /><label for="toc2.5.2.2"><a href="#section2.5.2.2">Available Diagrams</a></label>
-<ul>
-<li><input type="checkbox" id="toc2.5.2.2.1" /><label for="toc2.5.2.2.1"><a href="#section2.5.2.2.1">Task View</a></label>
-<ul>
-<li><label class="leaf"><a href="#section2.5.2.2.1.1">Communication Layer</a></label></li>
-<li><label class="leaf"><a href="#section2.5.2.2.1.2">Label Layer</a></label></li>
-</ul>
-</li>
-<li><label class="leaf"><a href="#section2.5.2.2.2">Label View</a></label></li>
-<li><label class="leaf"><a href="#section2.5.2.2.3">EventChain View</a></label></li>
-<li><label class="leaf"><a href="#section2.5.2.2.4">Tasks View</a></label></li>
-<li><label class="leaf"><a href="#section2.5.2.2.5">Mapping View</a></label></li>
-</ul>
-</li>
-</ul>
-</li>
</ul>
</li>
<li><input type="checkbox" id="toc2.6" /><label for="toc2.6"><a href="#section2.6">Model Visualization</a></label>
@@ -397,7 +378,14 @@
<li><label class="leaf"><a href="#section3.6.9">Physical Section Constraints</a></label></li>
</ul>
</li>
-<li><label class="leaf"><a href="#section3.7">Event Model</a></label></li>
+<li><input type="checkbox" id="toc3.7" /><label for="toc3.7"><a href="#section3.7">Event Model</a></label>
+<ul>
+<li><label class="leaf"><a href="#section3.7.1">Entity Events</a></label></li>
+<li><label class="leaf"><a href="#section3.7.2">Trigger Events</a></label></li>
+<li><label class="leaf"><a href="#section3.7.3">Process Events</a></label></li>
+<li><label class="leaf"><a href="#section3.7.4">Details</a></label></li>
+</ul>
+</li>
<li><input type="checkbox" id="toc3.8" /><label for="toc3.8"><a href="#section3.8">Hardware Model</a></label>
<ul>
<li><input type="checkbox" id="toc3.8.1" /><label for="toc3.8.1"><a href="#section3.8.1">Class Diagrams</a></label>
@@ -577,22 +565,29 @@
<li><label class="leaf"><a href="#section3.13.10.18">Statistical Values</a></label></li>
</ul>
</li>
-<li><input type="checkbox" id="toc3.13.11" /><label for="toc3.13.11"><a href="#section3.13.11">Modes</a></label>
+<li><label class="leaf"><a href="#section3.13.11">Modes</a></label></li>
+<li><input type="checkbox" id="toc3.13.12" /><label for="toc3.13.12"><a href="#section3.13.12">Mode Labels</a></label>
<ul>
-<li><label class="leaf"><a href="#section3.13.11.1">Modes and Mode Labels</a></label></li>
-<li><label class="leaf"><a href="#section3.13.11.2">Mode Changes</a></label></li>
-<li><label class="leaf"><a href="#section3.13.11.3">Mode Conditions</a></label></li>
+<li><label class="leaf"><a href="#section3.13.12.1">Mode Changes</a></label></li>
+<li><label class="leaf"><a href="#section3.13.12.2">Mode Conditions</a></label></li>
</ul>
</li>
-<li><label class="leaf"><a href="#section3.13.12">Process Prototypes</a></label></li>
-<li><label class="leaf"><a href="#section3.13.13">Process Chains</a></label></li>
-<li><label class="leaf"><a href="#section3.13.14">Custom Entities</a></label></li>
-<li><label class="leaf"><a href="#section3.13.15">Section</a></label></li>
-<li><input type="checkbox" id="toc3.13.16" /><label for="toc3.13.16"><a href="#section3.13.16">Data Dependencies and Runnable Parameters</a></label>
+<li><input type="checkbox" id="toc3.13.13" /><label for="toc3.13.13"><a href="#section3.13.13">Local Mode Labels</a></label>
<ul>
-<li><label class="leaf"><a href="#section3.13.16.1">Overview</a></label></li>
-<li><label class="leaf"><a href="#section3.13.16.2">Elements with data dependency</a></label></li>
-<li><label class="leaf"><a href="#section3.13.16.3">Data Dependency</a></label></li>
+<li><label class="leaf"><a href="#section3.13.13.1">Local Mode Label Assignment</a></label></li>
+<li><label class="leaf"><a href="#section3.13.13.2">Local Mode Conditions</a></label></li>
+<li><label class="leaf"><a href="#section3.13.13.3">Local mode label examples</a></label></li>
+</ul>
+</li>
+<li><label class="leaf"><a href="#section3.13.14">Process Prototypes</a></label></li>
+<li><label class="leaf"><a href="#section3.13.15">Process Chains</a></label></li>
+<li><label class="leaf"><a href="#section3.13.16">Custom Entities</a></label></li>
+<li><label class="leaf"><a href="#section3.13.17">Section</a></label></li>
+<li><input type="checkbox" id="toc3.13.18" /><label for="toc3.13.18"><a href="#section3.13.18">Data Dependencies and Runnable Parameters</a></label>
+<ul>
+<li><label class="leaf"><a href="#section3.13.18.1">Overview</a></label></li>
+<li><label class="leaf"><a href="#section3.13.18.2">Elements with data dependency</a></label></li>
+<li><label class="leaf"><a href="#section3.13.18.3">Data Dependency</a></label></li>
</ul>
</li>
</ul>
@@ -667,26 +662,27 @@
</li>
<li><input type="checkbox" id="toc4.5.4" /><label for="toc4.5.4"><a href="#section4.5.4">AMALTHEA meta model changes</a></label>
<ul>
-<li><label class="leaf"><a href="#section4.5.4.1">Version APP4MC 1.2.0 to APP4MC 2.0.0</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.2">Version APP4MC 1.1.0 to APP4MC 1.2.0</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.3">Version APP4MC 1.0.0 to APP4MC 1.1.0</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.4">Version APP4MC 0.9.9 to APP4MC 1.0.0</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.5">Version APP4MC 0.9.8 to APP4MC 0.9.9</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.6">Version APP4MC 0.9.7 to APP4MC 0.9.8</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.7">Version APP4MC 0.9.6 to APP4MC 0.9.7</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.8">Version APP4MC 0.9.5 to APP4MC 0.9.6</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.9">Version APP4MC 0.9.4 to APP4MC 0.9.5</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.10">Version APP4MC 0.9.3 to APP4MC 0.9.4</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.11">Version APP4MC 0.9.2 to APP4MC 0.9.3</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.12">Version APP4MC 0.9.1 to APP4MC 0.9.2</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.13">Version APP4MC 0.9.0 to APP4MC 0.9.1</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.14">Version APP4MC 0.8.3 to APP4MC 0.9.0</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.15">Version APP4MC 0.8.2 to APP4MC 0.8.3</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.16">Version APP4MC 0.8.1 to APP4MC 0.8.2</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.17">Version APP4MC 0.8.0 to APP4MC 0.8.1</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.18">Version APP4MC 0.7.2 to APP4MC 0.8.0</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.19">Version APP4MC 0.7.1 to APP4MC 0.7.2</a></label></li>
-<li><label class="leaf"><a href="#section4.5.4.20">Version APP4MC 0.7.0 to APP4MC 0.7.1</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.1">Version APP4MC 2.0.0 to APP4MC 2.1.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.2">Version APP4MC 1.2.0 to APP4MC 2.0.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.3">Version APP4MC 1.1.0 to APP4MC 1.2.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.4">Version APP4MC 1.0.0 to APP4MC 1.1.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.5">Version APP4MC 0.9.9 to APP4MC 1.0.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.6">Version APP4MC 0.9.8 to APP4MC 0.9.9</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.7">Version APP4MC 0.9.7 to APP4MC 0.9.8</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.8">Version APP4MC 0.9.6 to APP4MC 0.9.7</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.9">Version APP4MC 0.9.5 to APP4MC 0.9.6</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.10">Version APP4MC 0.9.4 to APP4MC 0.9.5</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.11">Version APP4MC 0.9.3 to APP4MC 0.9.4</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.12">Version APP4MC 0.9.2 to APP4MC 0.9.3</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.13">Version APP4MC 0.9.1 to APP4MC 0.9.2</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.14">Version APP4MC 0.9.0 to APP4MC 0.9.1</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.15">Version APP4MC 0.8.3 to APP4MC 0.9.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.16">Version APP4MC 0.8.2 to APP4MC 0.8.3</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.17">Version APP4MC 0.8.1 to APP4MC 0.8.2</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.18">Version APP4MC 0.8.0 to APP4MC 0.8.1</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.19">Version APP4MC 0.7.2 to APP4MC 0.8.0</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.20">Version APP4MC 0.7.1 to APP4MC 0.7.2</a></label></li>
+<li><label class="leaf"><a href="#section4.5.4.21">Version APP4MC 0.7.0 to APP4MC 0.7.1</a></label></li>
</ul>
</li>
</ul>
@@ -786,27 +782,28 @@
</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 2.0.0 (Nov 2021)</a></label></li>
-<li><label class="leaf"><a href="#section5.2">Eclipse APP4MC 1.2.0 (Jul 2021)</a></label></li>
-<li><label class="leaf"><a href="#section5.3">Eclipse APP4MC 1.1.0 (Apr 2021)</a></label></li>
-<li><label class="leaf"><a href="#section5.4">Eclipse APP4MC 1.0.0 (Nov 2020)</a></label></li>
-<li><label class="leaf"><a href="#section5.5">Eclipse APP4MC 0.9.9 (Jul 2020)</a></label></li>
-<li><label class="leaf"><a href="#section5.6">Eclipse APP4MC 0.9.8 (Apr 2020)</a></label></li>
-<li><label class="leaf"><a href="#section5.7">Eclipse APP4MC 0.9.7 (Jan 2020)</a></label></li>
-<li><label class="leaf"><a href="#section5.8">Eclipse APP4MC 0.9.6 (Oct 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.9">Eclipse APP4MC 0.9.5 (Jul 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.10">Eclipse APP4MC 0.9.4 (Apr 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.11">Eclipse APP4MC 0.9.3 (Jan 2019)</a></label></li>
-<li><label class="leaf"><a href="#section5.12">Eclipse APP4MC 0.9.2 (Oct 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.13">Eclipse APP4MC 0.9.1 (Jul 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.14">Eclipse APP4MC 0.9.0 (Apr 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.15">Eclipse APP4MC 0.8.3 (Jan 2018)</a></label></li>
-<li><label class="leaf"><a href="#section5.16">Eclipse APP4MC 0.8.2 (Oct 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.17">Eclipse APP4MC 0.8.1 (Jul 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.18">Eclipse APP4MC 0.8.0 (Apr 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.19">Eclipse APP4MC 0.7.2 (Jan 2017)</a></label></li>
-<li><label class="leaf"><a href="#section5.20">Eclipse APP4MC 0.7.1 (Oct 2016)</a></label></li>
-<li><label class="leaf"><a href="#section5.21">Eclipse APP4MC 0.7.0 (Jul 2016)</a></label></li>
+<li><label class="leaf"><a href="#section5.1">Eclipse APP4MC 2.1.0 (Apr 2022)</a></label></li>
+<li><label class="leaf"><a href="#section5.2">Eclipse APP4MC 2.0.0 (Nov 2021)</a></label></li>
+<li><label class="leaf"><a href="#section5.3">Eclipse APP4MC 1.2.0 (Jul 2021)</a></label></li>
+<li><label class="leaf"><a href="#section5.4">Eclipse APP4MC 1.1.0 (Apr 2021)</a></label></li>
+<li><label class="leaf"><a href="#section5.5">Eclipse APP4MC 1.0.0 (Nov 2020)</a></label></li>
+<li><label class="leaf"><a href="#section5.6">Eclipse APP4MC 0.9.9 (Jul 2020)</a></label></li>
+<li><label class="leaf"><a href="#section5.7">Eclipse APP4MC 0.9.8 (Apr 2020)</a></label></li>
+<li><label class="leaf"><a href="#section5.8">Eclipse APP4MC 0.9.7 (Jan 2020)</a></label></li>
+<li><label class="leaf"><a href="#section5.9">Eclipse APP4MC 0.9.6 (Oct 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.10">Eclipse APP4MC 0.9.5 (Jul 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.11">Eclipse APP4MC 0.9.4 (Apr 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.12">Eclipse APP4MC 0.9.3 (Jan 2019)</a></label></li>
+<li><label class="leaf"><a href="#section5.13">Eclipse APP4MC 0.9.2 (Oct 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.14">Eclipse APP4MC 0.9.1 (Jul 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.15">Eclipse APP4MC 0.9.0 (Apr 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.16">Eclipse APP4MC 0.8.3 (Jan 2018)</a></label></li>
+<li><label class="leaf"><a href="#section5.17">Eclipse APP4MC 0.8.2 (Oct 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.18">Eclipse APP4MC 0.8.1 (Jul 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.19">Eclipse APP4MC 0.8.0 (Apr 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.20">Eclipse APP4MC 0.7.2 (Jan 2017)</a></label></li>
+<li><label class="leaf"><a href="#section5.21">Eclipse APP4MC 0.7.1 (Oct 2016)</a></label></li>
+<li><label class="leaf"><a href="#section5.22">Eclipse APP4MC 0.7.0 (Jul 2016)</a></label></li>
</ul>
</li>
<li><label class="leaf"><a href="#section6">Roadmap</a></label></li>
@@ -826,7 +823,7 @@
<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>
@@ -853,7 +850,7 @@
</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>
@@ -867,7 +864,7 @@
<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>
@@ -878,7 +875,7 @@
<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>
@@ -887,7 +884,7 @@
<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> ->
@@ -903,33 +900,33 @@
<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>The AMALTHEA Editor has additional commands available in the editor toolbar.</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 search for 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 result are shown in the Eclipse search 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>A double click on a result selects the element in the editor 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>
@@ -954,7 +951,7 @@
</li>
</ul>
<p>
- <img src="images/user_guide_folder_scope.png" />
+ <img src="images/user_guide_folder_scope.png"/>
</p>
<p>When the
<strong>last</strong> Amalthea editor of a folder is closed
@@ -978,7 +975,7 @@
<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>
@@ -989,7 +986,7 @@
<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>
@@ -1000,7 +997,7 @@
<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>
@@ -1106,7 +1103,7 @@
</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>
<ul>
@@ -1143,7 +1140,7 @@
<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>
@@ -1161,7 +1158,7 @@
<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
@@ -1176,7 +1173,7 @@
<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>
@@ -1201,7 +1198,7 @@
<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>
@@ -1212,7 +1209,7 @@
<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
@@ -1223,7 +1220,7 @@
<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>
@@ -1233,7 +1230,7 @@
<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>
@@ -1309,7 +1306,7 @@
<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>
@@ -1337,7 +1334,7 @@
<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>
@@ -1357,7 +1354,7 @@
<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>
@@ -1365,14 +1362,14 @@
<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>
@@ -1382,21 +1379,21 @@
<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>
@@ -1413,7 +1410,7 @@
<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>
@@ -1462,7 +1459,7 @@
</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" />
+ <img class="gray_scale" src="images/user_guide_package_support.png"/>
</p>
@@ -1492,13 +1489,13 @@
<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" />
+ <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" />
+ <img class="gray_scale" src="images/user_guide_namespace_support_xmlcontent.png"/>
</p>
<p>
<strong>Additional Information</strong>:
@@ -1523,7 +1520,7 @@
</li>
</ul>
<p>
- <img src="images/user-scheduling-sched-allocation.png" />
+ <img src="images/user-scheduling-sched-allocation.png"/>
</p>
@@ -1539,7 +1536,7 @@
</ul>
<p>The scheduling parameters are determined by the scheduling algorithm and are only valid for this specific task – scheduler combination. Therefore the parameters are specified in the TaskAllocation object.</p>
<p>
- <img src="images/user-scheduling-task-allocation.svg" />
+ <img src="images/user-scheduling-task-allocation.svg"/>
</p>
@@ -1549,7 +1546,7 @@
<br>If a reservation based server has only one child (this can either be a process or a child scheduler), the scheduling parameters specified in this single child allocation will also be passed to the parent scheduler. The example below shows this for the EDF scheduler on the right hand side.
</p>
<p>
- <img src="images/user-scheduling-hierarchy.svg" />
+ <img src="images/user-scheduling-hierarchy.svg"/>
</p>
@@ -1559,7 +1556,7 @@
<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>
@@ -1578,7 +1575,7 @@
<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>
@@ -1624,7 +1621,7 @@
</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>
@@ -1653,7 +1650,7 @@
</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>
@@ -1670,7 +1667,7 @@
<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.
@@ -1716,7 +1713,7 @@
<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
@@ -1727,7 +1724,7 @@
</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>
@@ -1752,7 +1749,7 @@
<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>
@@ -1776,7 +1773,7 @@
</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>
@@ -1858,14 +1855,14 @@
<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.
@@ -1875,7 +1872,7 @@
<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.
@@ -1909,7 +1906,7 @@
<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. In case of Example 1, 'Task_1' and 'Task_2' are managed by 'Scheduler_1', while the other tasks are managed by 'Scheduler_2'. Scheduler specific parameters are set here, too. For the OSEK scheduler these are 'priority' and 'taskGroup'. Each task has a priority assigned according its deadline, meaning the one with the shortest deadline, 'Task_1', has the highest priority, and so on.
@@ -1975,7 +1972,7 @@
<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'. Each task is preemptive and also calls a definitive number of Runnables in a sequential order.
<br>A comprehension of the modeled properties can be found in the following table:
@@ -2048,7 +2045,7 @@
<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.
@@ -2106,7 +2103,7 @@
<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.
@@ -2153,14 +2150,14 @@
<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.
@@ -2170,7 +2167,7 @@
<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.
@@ -2196,7 +2193,7 @@
<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. Since there is only one scheduler available in the system, all four tasks are mapped to 'Scheduler_1'. Scheduler specific parameters are set here, too. For the OSEK scheduler these are 'priority' and 'taskGroup'. All tasks have assigned the same priority (10) to get a cooperative scheduling.
@@ -2258,7 +2255,7 @@
<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'. 'Task_2' to'Task_4' call a definitive number of Runnables in a sequential order. 'Task_1' instead contains a call graph that models two different possible execution sequences. In 70% of the cases the sequence 'Runnable_1_1', 'Runnable_1_2', 'Task_2', 'Runnable_1_4' is called, while in the remaining 30% the sequence 'Runnable_1_1', 'Runnable_1_3', 'Task_3', 'Runnable_1_4' is called. As it can be seen, the call graph of 'Task_1' contains also interprocess activations, which activate other tasks.
<br>A comprehension of the modeled properties can be found in the following table:
@@ -2334,7 +2331,7 @@
<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.
@@ -2412,7 +2409,7 @@
<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'
@@ -2441,14 +2438,14 @@
<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">
@@ -2585,7 +2582,7 @@
<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>
@@ -2606,7 +2603,7 @@
<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>
@@ -2617,7 +2614,7 @@
</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>
@@ -2626,7 +2623,7 @@
</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>
@@ -2635,7 +2632,7 @@
</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>
@@ -2644,7 +2641,7 @@
</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>
@@ -2653,7 +2650,7 @@
</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>
@@ -2662,7 +2659,7 @@
</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>
@@ -2671,7 +2668,7 @@
</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>
@@ -2680,7 +2677,7 @@
</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>
@@ -2689,7 +2686,7 @@
</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>
@@ -2697,7 +2694,7 @@
<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">
@@ -2731,7 +2728,7 @@
<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>
@@ -2765,7 +2762,7 @@
<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>
@@ -2793,7 +2790,7 @@
</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>
@@ -2802,7 +2799,7 @@
</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>
@@ -2812,7 +2809,7 @@
<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>
@@ -2821,7 +2818,7 @@
</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>
@@ -2830,7 +2827,7 @@
</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>
@@ -2839,7 +2836,7 @@
</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>
@@ -2848,7 +2845,7 @@
</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>
@@ -2857,7 +2854,7 @@
</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>
@@ -2866,7 +2863,7 @@
</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>
@@ -2878,7 +2875,7 @@
<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">
@@ -2912,7 +2909,7 @@
<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>
@@ -2940,7 +2937,7 @@
<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>
@@ -2958,7 +2955,7 @@
</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>
@@ -2967,7 +2964,7 @@
</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>
@@ -2976,7 +2973,7 @@
</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>
@@ -2986,7 +2983,7 @@
<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>
@@ -2995,7 +2992,7 @@
</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>
@@ -3004,7 +3001,7 @@
</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>
@@ -3013,7 +3010,7 @@
</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>
@@ -3022,7 +3019,7 @@
</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>
@@ -3031,7 +3028,7 @@
</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>
@@ -3057,7 +3054,7 @@
<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">
@@ -3108,7 +3105,7 @@
<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>
@@ -3132,7 +3129,7 @@
<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>
@@ -3147,7 +3144,7 @@
<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>
@@ -3156,7 +3153,7 @@
<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>
@@ -3181,7 +3178,7 @@
<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>
@@ -3215,7 +3212,7 @@
<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>
@@ -3240,7 +3237,7 @@
<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>
@@ -3261,7 +3258,7 @@
<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>
@@ -3272,7 +3269,7 @@
</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>
@@ -3281,7 +3278,7 @@
</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>
@@ -3290,7 +3287,7 @@
</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>
@@ -3300,7 +3297,7 @@
<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>
@@ -3309,7 +3306,7 @@
</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>
@@ -3318,7 +3315,7 @@
</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>
@@ -3327,7 +3324,7 @@
</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>
@@ -3336,7 +3333,7 @@
</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>
@@ -3345,7 +3342,7 @@
</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>
@@ -3353,7 +3350,7 @@
<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">
@@ -3387,7 +3384,7 @@
<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>
@@ -3411,7 +3408,7 @@
<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>
@@ -3443,7 +3440,7 @@
<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>
@@ -3477,7 +3474,7 @@
<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>
@@ -3502,7 +3499,7 @@
<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>
@@ -3523,7 +3520,7 @@
<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>
@@ -3534,7 +3531,7 @@
</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>
@@ -3543,7 +3540,7 @@
</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>
@@ -3552,7 +3549,7 @@
</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>
@@ -3561,7 +3558,7 @@
</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>
@@ -3570,7 +3567,7 @@
</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>
@@ -3579,7 +3576,7 @@
</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>
@@ -3588,7 +3585,7 @@
</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>
@@ -3597,7 +3594,7 @@
</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>
@@ -3606,7 +3603,7 @@
</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>
@@ -3649,7 +3646,7 @@
<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:
@@ -3661,13 +3658,13 @@
</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
@@ -3684,14 +3681,14 @@
<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>
@@ -3703,7 +3700,7 @@
<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>
@@ -3713,7 +3710,7 @@
<strong>CoreB</strong>.
</p>
<p>
- <img src="images/example_scheduler_partitioned_fpp.svg" />
+ <img src="images/example_scheduler_partitioned_fpp.svg"/>
</p>
@@ -3729,13 +3726,13 @@
<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
@@ -3744,7 +3741,7 @@
<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>
@@ -3758,7 +3755,7 @@
<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.
@@ -3767,13 +3764,13 @@
<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>.
@@ -3826,7 +3823,7 @@
</code></pre>
<p>There is exacly one instance of each entity in the trace, so the tables in the database do not become to big for a small example. The visualized Gantt chart of the above trace is depicted in the following figure:</p>
<p>
- <img class="scale" src="images/atdb_example_btf_visual.png" />
+ <img class="scale" src="images/atdb_example_btf_visual.png"/>
</p>
@@ -4144,7 +4141,7 @@
<td colspan="1" rowspan="1">STI</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">trigger</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">0</td>
@@ -4156,7 +4153,7 @@
<td colspan="1" rowspan="1">STI</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">activate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">0</td>
@@ -4168,7 +4165,7 @@
<td colspan="1" rowspan="1">STI</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">trigger</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">0</td>
@@ -4180,7 +4177,7 @@
<td colspan="1" rowspan="1">STI</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">activate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">100</td>
@@ -4192,7 +4189,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">start</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">100</td>
@@ -4204,7 +4201,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">start</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">100</td>
@@ -4216,7 +4213,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">start</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">100</td>
@@ -4228,7 +4225,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">start</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">20800</td>
@@ -4240,7 +4237,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">terminate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">20800</td>
@@ -4252,7 +4249,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">start</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">40900</td>
@@ -4264,7 +4261,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">terminate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">40900</td>
@@ -4276,7 +4273,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">terminate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">45000</td>
@@ -4288,7 +4285,7 @@
<td colspan="1" rowspan="1">STI</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">trigger</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">45000</td>
@@ -4300,7 +4297,7 @@
<td colspan="1" rowspan="1">STI</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">activate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">45100</td>
@@ -4312,7 +4309,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">suspend</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">45100</td>
@@ -4324,7 +4321,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">preempt</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">45100</td>
@@ -4336,7 +4333,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">start</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">45100</td>
@@ -4348,7 +4345,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">start</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">55800</td>
@@ -4360,7 +4357,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">terminate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">55800</td>
@@ -4372,7 +4369,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">terminate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">55900</td>
@@ -4384,7 +4381,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">resume</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">55900</td>
@@ -4396,7 +4393,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">resume</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">61000</td>
@@ -4408,7 +4405,7 @@
<td colspan="1" rowspan="1">T</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">terminate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">61000</td>
@@ -4420,7 +4417,7 @@
<td colspan="1" rowspan="1">C</td>
<td colspan="1" rowspan="1">0</td>
<td colspan="1" rowspan="1">terminate</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
</tr>
</table>
<p>The vTraceEvent table view intentionally resembles the original BTF trace. However, some information is omitted since it is extracted and stored in other tables (e.g. the frequency of the cores). All tags (eventType "tag") have been stored in property values.</p>
@@ -4613,32 +4610,32 @@
<td colspan="1" rowspan="1">start</td>
<td colspan="1" rowspan="1">Runnable_1_1</td>
<td colspan="1" rowspan="1">R</td>
- <td colspan="1" rowspan="1" />
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">Runnable_1_1_terminate</td>
<td colspan="1" rowspan="1">terminate</td>
<td colspan="1" rowspan="1">Runnable_1_1</td>
<td colspan="1" rowspan="1">R</td>
- <td colspan="1" rowspan="1" />
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">Runnable_3_1_start</td>
<td colspan="1" rowspan="1">start</td>
<td colspan="1" rowspan="1">Runnable_3_1</td>
<td colspan="1" rowspan="1">R</td>
- <td colspan="1" rowspan="1" />
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1"/>
</tr>
<tr>
<td colspan="1" rowspan="1">Runnable_3_1_terminate</td>
<td colspan="1" rowspan="1">terminate</td>
<td colspan="1" rowspan="1">Runnable_3_1</td>
<td colspan="1" rowspan="1">R</td>
- <td colspan="1" rowspan="1" />
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1"/>
</tr>
</table>
<p>The following two tables then extend the existing ones by the event chains.</p>
@@ -4787,31 +4784,31 @@
<td colspan="1" rowspan="1">Runnable_1_1_start</td>
<td colspan="1" rowspan="1">Runnable_3_1_terminate</td>
<td colspan="1" rowspan="1">EC1_segment1, EC1_segment2, EC1_segment3</td>
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
<td colspan="1" rowspan="1">0</td>
</tr>
<tr>
<td colspan="1" rowspan="1">EC1_segment1</td>
<td colspan="1" rowspan="1">Runnable_1_1_start</td>
<td colspan="1" rowspan="1">Runnable_1_1_terminate</td>
- <td colspan="1" rowspan="1" />
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1"/>
<td colspan="1" rowspan="1">0</td>
</tr>
<tr>
<td colspan="1" rowspan="1">EC1_segment2</td>
<td colspan="1" rowspan="1">Runnable_1_1_terminate</td>
<td colspan="1" rowspan="1">Runnable_3_1_start</td>
- <td colspan="1" rowspan="1" />
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1"/>
<td colspan="1" rowspan="1">0</td>
</tr>
<tr>
<td colspan="1" rowspan="1">EC1_segment3</td>
<td colspan="1" rowspan="1">Runnable_3_1_start</td>
<td colspan="1" rowspan="1">Runnable_3_1_terminate</td>
- <td colspan="1" rowspan="1" />
- <td colspan="1" rowspan="1" />
+ <td colspan="1" rowspan="1"/>
+ <td colspan="1" rowspan="1"/>
<td colspan="1" rowspan="1">0</td>
</tr>
</table>
@@ -5372,7 +5369,7 @@
<em>Task</em>, indexed with [1..3]. The light blue colored state is the current state the state machine is in. So at the beginning of the trace the three state machines look like this:
</p>
<p>
- <img src="images/mta3example1.svg" />
+ <img src="images/mta3example1.svg"/>
</p>
@@ -5381,7 +5378,7 @@
<em>Task[1]</em> is now in the state activated and the state machines look like this:
</p>
<p>
- <img src="images/mta3example2.svg" />
+ <img src="images/mta3example2.svg"/>
</p>
@@ -5390,7 +5387,7 @@
<em>Task</em> starts and, correspondingly, changes its state:
</p>
<p>
- <img src="images/mta3example3.svg" />
+ <img src="images/mta3example3.svg"/>
</p>
@@ -5400,7 +5397,7 @@
<em>Task[2]</em> enters the activated state:
</p>
<p>
- <img src="images/mta3example4.svg" />
+ <img src="images/mta3example4.svg"/>
</p>
@@ -5410,7 +5407,7 @@
<em>Task[3]</em> enters the activated state:
</p>
<p>
- <img src="images/mta3example5.svg" />
+ <img src="images/mta3example5.svg"/>
</p>
@@ -5419,7 +5416,7 @@
<em>Task[1]</em> has terminated (displayed in grey):
</p>
<p>
- <img src="images/mta3example6.svg" />
+ <img src="images/mta3example6.svg"/>
</p>
@@ -5429,7 +5426,7 @@
<em>Task[2]</em> run:
</p>
<p>
- <img src="images/mta3example7.svg" />
+ <img src="images/mta3example7.svg"/>
</p>
@@ -5480,7 +5477,7 @@
<strong>Step 2</strong>
</p>
<p>
- <img src="images/project_rightclick_import.png" />
+ <img src="images/project_rightclick_import.png"/>
</p>
<p>Right-click on the project folder (in this example, the name of the project is "Test1"). You will see several possible options. In that menu select and click "Import...".
<br>This will open a dialogue where different available import options are listed.
@@ -5490,7 +5487,7 @@
</p>
<p>Open the folder called "AMALTHEA Trace DB" by clicking on cross next to the title. This is shown in the following picture:</p>
<p>
- <img src="images/atdb_import_wizard_open.png" />
+ <img src="images/atdb_import_wizard_open.png"/>
</p>
<p>Select the option "AMALTHEA Trace DB from BTF" and click the "Next" button.</p>
<p>
@@ -5498,14 +5495,14 @@
</p>
<p>You are prompted to enter the location of the BTF file you want to import. Click the upper "Browse..." button to navigate your file system and select the "test1.btf" file. If you want to change the target project the ATDB file will be created in, press the lower "Browse..." button and make your choice. If you want the original trace data from the BTF in the data base file, select the option "Persist trace event table". The figure shows the example input:</p>
<p>
- <img src="images/btf_to_atdb_import_dialog.png" />
+ <img src="images/btf_to_atdb_import_dialog.png"/>
</p>
<p>
<strong>Step 5</strong>
</p>
<p>After you have made all required inputs, click on "Finish". This will start the import of the database. Once the transformation is done the dialogue will close and the newly created ATDB file is opened in the Metric Viewer. For our example, this is shown in the following figure:</p>
<p>
- <img src="images/atdb_in_metric_viewer.png" />
+ <img src="images/atdb_in_metric_viewer.png"/>
</p>
@@ -5516,21 +5513,21 @@
</p>
<p>Consider the following original AMALTHEA model (called "test1model.amxmi") of which we want to import and analyze the events and event chains in the already existing test1.atdb file.</p>
<p>
- <img src="images/amxmi_input_test1model.png" />
+ <img src="images/amxmi_input_test1model.png"/>
</p>
<p>
<strong>Step 2</strong>
</p>
<p>Select both files, test1.atdb and test1model.amxmi in the Project Explorer (press and hold Ctrl while clicking on the second file). Right-click on your selection and click "AMALTHEA Specifications -> ATDB" in the contest menu:</p>
<p>
- <img src="images/amxmi_and_atdb_context_menu_import.png" />
+ <img src="images/amxmi_and_atdb_context_menu_import.png"/>
</p>
<p>
<strong>Step 3</strong>
</p>
<p>This will then create and open the enriched ATDB (which is named after the original amxmi file) in the metric viewer.</p>
<p>
- <img src="images/amxmi_and_atdb_result.png" />
+ <img src="images/amxmi_and_atdb_result.png"/>
</p>
<p>As can be seen in the picture, there is now metric data about the events and event chains from the test1model.amxmi file.</p>
@@ -5542,14 +5539,14 @@
</p>
<p>Let us assume there is an ATDB file called "test2.atdb" which contains typical atdb data about a trace and some specification parts (events and event chains):</p>
<p>
- <img src="images/atdb_to_amxmi_input.png" />
+ <img src="images/atdb_to_amxmi_input.png"/>
</p>
<p>
<strong>Step 2</strong>
</p>
<p>We now want to create an AMALTHEA model to start out on an initial simulateable model from the contained trace data. For this right-click on the "test2.atdb" file in the Project Explorer:</p>
<p>
- <img src="images/atdb_to_amxmi_context_menu_import.png" />
+ <img src="images/atdb_to_amxmi_context_menu_import.png"/>
</p>
<p>Now, click on "ATDB -> AMALTHEA model".</p>
<p>
@@ -5557,7 +5554,7 @@
</p>
<p>This will create a new AMALTHEA model from the ATDB file (here, called "test2.amxmi". The result will contain all information about the software, hardware, events, and event chains that the original ATDB file provided.</p>
<p>
- <img src="images/atdb_to_amxmi_import_result.png" />
+ <img src="images/atdb_to_amxmi_import_result.png"/>
</p>
@@ -5567,209 +5564,15 @@
<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>The ATDB metrics viewer displays metrics in three tabs: "Process Time Metrics", "Runnable Time Metrics", and "EventChain Time Metrics". The table in each tab displays various time metrics (depending on what events were actually in the source trace). The time metrics are aggregated, i.e., Minimum, Maximum, Average, and Standard Deviation values of the entity instances are shown. For better navigability you can collapse the metric value rows per entity. The following figure shows the metric table for processes:</p>
<p>
- <img src="images/metric-viewer_table.png" />
+ <img src="images/metric-viewer_table.png"/>
</p>
<p>And the next picture shows the same table with the metrics of "Task_1" and "Task_2" collapsed.</p>
<p>
- <img src="images/metric-viewer_table_collapsed.png" />
- </p>
-
-
-<h3><a id="section2.5.2">2.5.2 </a>Sirius Viewer</h3>
- <p>Basic graphical viewers are realized using
- <a href="https://www.eclipse.org/sirius/">Sirius</a>.
- </p>
- <p>The following viewers are treated as a POC (Proof of concept) and are not final.
- <br>They can be extended and further developed to show additional parts of the model.
- </p>
-
-
-<h4><a id="section2.5.2.1"></a>Activate capabilities for project</h4>
- <p>The following steps will activate the Sirius feature and AMALTHEA viewpoints:</p>
- <p>To use Sirius, projects needs to have the
- <i>Modeling Feature</i> enabled. This can be done by right clicking on the project and select
- <strong>Configure – Convert to Modeling Project</strong>. Note that a new file
- <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" />
- </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" />
- </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.
- </p>
-
-
-<h4><a id="section2.5.2.2"></a>Available Diagrams</h4>
-
-
-<h5><a id="section2.5.2.2.1"></a>Task View</h5>
- <p>The current version of the Task View shows the Task as a container with the included Runnables.</p>
- <p>Open/Create a view for a
- <i>Task</i> element by right click on it and select
- <i>Task View</i>.
- </p>
- <p>
- <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" />
- </p>
-
-
-<h6><a id="section2.5.2.2.1.1"></a>Communication Layer</h6>
- <p>The Communication Layer shows direct dependencies between
- <i>Runnables</i>. Therefore the following requirement must be fulfilled:
- </p>
- <ol>
- <li>Runnable R1 writes Label L1</li>
- <li>Runnable R2 reads Label L1</li>
- </ol>
- <p>Enable it through the Layers option menu.</p>
- <p>
- <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" />
- </p>
-
-
-<h6><a id="section2.5.2.2.1.2"></a>Label Layer</h6>
- <p>The Label Layer shows all Read/Write dependencies between
- <i>Runnables</i> and
- <i>Labels</i>.
- </p>
- <p>Enable it through the Layers option menu.</p>
- <p>
- <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" />
- </p>
-
-
-<h5><a id="section2.5.2.2.2"></a>Label View</h5>
- <p>The Label View shows a
- <i>Label</i> element including read/write accesses from corresponding
- <i>Runnables</i>.
- </p>
- <p>Open/Create a view for a
- <i>Label</i> element by right click on it and select
- <i>Label View</i>.
- </p>
- <p>
- <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" />
- </p>
-
-
-<h5><a id="section2.5.2.2.3"></a>EventChain View</h5>
- <p>The
- <i>EventChain</i> view is the first version to show the included
- <i>Events</i>.
- <br>If there is a reference to a
- <i>RunnableEvent</i>, the corresponding
- <i>Runnable</i> is also shown.
- <br>This behavior can be extended also for
- <i>Labels</i> and
- <i>Tasks</i> for example.
- </p>
- <p>Open/Create a view for an
- <i>EventChain</i> element by right click on it and select
- <i>Event Chain View</i>.
- </p>
- <p>
- <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>.
- <br>If there is a
- <i>RunnableEvent</i>, the association to the
- <i>Runnable</i> includes the configured
- <i>EventType</i>.
- </p>
- <p>
- <img src="images/sirius_event_chain_view_show.png" />
- </p>
-
-
-<h5><a id="section2.5.2.2.4"></a>Tasks View</h5>
- <p>The
- <i>Tasks</i> view is in general the same view as the already mentioned
- <i>Task</i> view above with the advantage to get an overview about all included
- <i>Tasks</i> of a Software model.
- </p>
- <p>To open/create a Tasks view it is needed to switch to the Sirius perspective.</p>
- <ul>
- <li>This can be done by
- <b>Window – Perspective – Open Perspective – Other</b> and select then Sirius.
- </li>
- <li>On the left side inside of the Model Explorer go to an AMALTHEA model, expand it and do a right click on the
- <i>Software</i> model.
- </li>
- <li>Select
- <b>New Representation – new Tasks Overview</b> to create a new diagram.
- </li>
- <li>Change the name if needed and click on ok.</li>
- </ul>
- <p>The same additional options are available as in the normal
- <i>Task</i> view like the
- <i>Label Layer</i> and
- <i>Communication Layer</i>.
- </p>
- <p>
- <img src="images/sirius_tasks_view_create.png" />
- </p>
- <p>
- <img src="images/sirius_tasks_view_show.png" />
- </p>
-
-
-<h5><a id="section2.5.2.2.5"></a>Mapping View</h5>
- <p>The
- <i>Mapping</i> view gives an overview of the relation between
- <i>Cores</i>,
- <i>Schedulers</i> and
- <i>Tasks</i>, which is defined in the
- <i>Mapping Model</i> of AMALTHEA.
- </p>
- <p>To open/create a Tasks view it is needed to switch to the Sirius perspective.</p>
- <ul>
- <li>This can be done by
- <b>Window – Perspective – Open Perspective – Other</b> and select then Sirius.
- </li>
- <li>On the left side inside of the Model Explorer go to an AMALTHEA model, expand it and do a right click on the
- <i>Mapping</i> model.
- </li>
- <li>Select
- <b>New Representation – new Tasks Overview</b> to create a new diagram.
- </li>
- <li>Change the name if needed and click on ok.</li>
- </ul>
- <p>
- <img src="images/sirius_mapping_view_create.png" />
- </p>
- <p>
- <img src="images/sirius_mapping_view_show.png" />
+ <img src="images/metric-viewer_table_collapsed.png"/>
</p>
@@ -5801,7 +5604,7 @@
</li>
</ol>
<p>
- <img src="images/visualization-view.png" />
+ <img src="images/visualization-view.png"/>
</p>
@@ -5814,7 +5617,7 @@
<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" />
+ <img src="images/hwmodel_hwblockdiagram.png"/>
</li>
</ul>
@@ -5823,7 +5626,7 @@
<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>
+ <img src="images/swmodel_statistics.png"/><br><br>
</li>
</ul>
<ul>
@@ -5833,9 +5636,145 @@
<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" />
+ <img src="images/swmodel_label_dependencies.png"/>
</li>
- </ul>
+ </ul><ul>
+ <li>
+ <p>
+ <u>Runnable Data Dependencies</u>
+ <br>
+ <br>
+ The purpose of this small - but
+ hopefully useful - visualization is to lay out a graph of the
+ <i>Runnables</i>
+ in a software model based on there data dependencies.
+ This means, two runnables are connected by a directed edge if the first
+ runnable writes a
+ <i>Label</i>
+ that is read by the second one.
+ Furthermore, some parts of the control flow are expressed by edges. The
+ tool colors the graph in order to make it easier for the user to follow
+ individual edges.
+ </p>
+ <p>
+ For the visualization to work properly, the path to Graphviz DOT has
+ to be set up in the PlantUML preferences. You can access them via
+ <i>Window > Preferences...</i>
+ and then opening the PlantUML tab.
+ </p>
+ <p>The buttons in the top row are used to configure the
+ visualization.
+ </p>
+ <ul>
+ <li>
+ <i>Horizontal Layout:</i>
+ Toggle between horizontal
+ (left to right) and vertical (top to bottom) layout of the
+ graph.
+ </li>
+ <li>
+ <i>Show Labels:</i>
+ Show read and written labels of the
+ runnables.
+ </li>
+ <li>
+ <i>Show R/W Dependencies:</i>
+ Show read/write data
+ dependencies between runnables. This is independent from the labels
+ being shown.
+ </li>
+ <li>
+ <i>Show Control Flow:</i>
+ Show stimuli, inter-process
+ triggers, and OS events. Also show the sequence of runnables within a
+ task.
+ </li>
+ <li>
+ <i>Show Tasks:</i>
+ Group runnables by tasks.
+ </li>
+ <li>
+ <i>Export:</i>
+ Export the visualization as an image, or
+ as Graphiz DOT. Supported image formats are PDF, SVG, and
+ PNG. Output in other formats can be generated by exporting in DOT
+ format and running Graphviz manually.
+ </li>
+ <li>
+ <i>+ / -:</i>
+ Zoom in/out.
+ </li>
+ </ul>
+ <p>
+ For performance reasons, the visualization has been limited to models
+ containing at most 200 runnables. This limitation does not apply to
+ the
+ export of the graph in
+ DOT
+ format.
+ </p>
+ <p>
+ <img src="images/datadependency_screenshot.png"/>
+ </p>
+ <p>The table below summarizes which elements are visualized. The
+ following elements are considered:
+ </p>
+ <ul>
+ <li>Within a <i>Runnable</i>: <i>LabelAccess</i></li>
+ <li>Within a <i>Task</i>:
+ <i>Group</i>, <i>RunnableCall</i>,
+ <i>InterProcessTrigger</i>,
+ <i>WaitEvent</i>,
+ <i>SetEvent</i>
+ </li>
+ </ul>
+ <p>
+ Other activity items (e.g. <i>ProbabilitySwitch</i>) are simply
+ ignored. Using them may lead to incomplete results.
+ </p>
+ <table class="classic">
+ <tr>
+ <td colspan="1" rowspan="1">Runnables</td>
+ <td align="center" colspan="1" rowspan="1">
+ <img alt="image" src="images/datadependency_runnable.png"/>
+ </td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">Stimuli</td>
+ <td align="center" colspan="1" rowspan="1">
+ <img src="images/datadependency_stimulus.png"/>
+ </td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">Tasks</td>
+ <td align="center" colspan="1" rowspan="1">
+ <img src="images/datadependency_task.png"/>
+ </td>
+ </tr>
+ <tr class="odd">
+ <td colspan="1" rowspan="1">Data dependencies</td>
+ <td align="center" colspan="1" rowspan="1">
+ <img src="images/datadependency_rwdependency.png"/>
+ <br>
+ (colored edges)
+ </td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">Runnable sequence in tasks</td>
+ <td align="center" colspan="1" rowspan="1">
+ <img src="images/datadependency_sequence.png"/>
+ </td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">Inter-process stimuli, OS events</td>
+ <td align="center" colspan="1" rowspan="1">
+ <img src="images/datadependency_sync.png"/>
+ </td>
+ </tr>
+ </table>
+ </li>
+</ul>
+
<h4><a id="section2.6.2.3"></a>Runnable</h4>
@@ -5846,7 +5785,7 @@
<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>
+ <img src="images/runnable_labelaccess.png"/><br><br>
</li>
</ul>
<ul>
@@ -5856,7 +5795,7 @@
<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>
+ <img src="images/runnable_sharedlabels.png"/><br><br>
</li>
</ul>
<ul>
@@ -5875,7 +5814,7 @@
<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" />
+ <img class="scale" src="images/runnable_labeldependencies.png"/>
</li>
</ul>
@@ -5884,12 +5823,12 @@
<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" />
+ <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>
@@ -5898,7 +5837,7 @@
<ul>
<li>
<ins>Scheduler Mapping Table</ins><br><br>This visualization shows a (hierarchical) table of schedulers, processing units and processes.<br><br>
- <img src="images/mapping_schedulers.png" />
+ <img src="images/mapping_schedulers.png"/>
</li>
</ul>
@@ -5909,7 +5848,7 @@
<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>
- <img src="images/profile_selection_dialog.png" />
+ <img src="images/profile_selection_dialog.png"/>
</p>
<p>The dialog shows a list of profiles allowing the selection of specific validations.</p>
<p>The validation is either applied to all elements of the model (default: folder scope) or only to the elements of the current file.</p>
@@ -6247,6 +6186,9 @@
<code>org.eclipse.app4mc.amalthea.validations.sim.SimMappingProfile</code>
</li>
<li>
+ <code>org.eclipse.app4mc.amalthea.validations.sim.SimOsProfile</code>
+ </li>
+ <li>
<code>org.eclipse.app4mc.amalthea.validations.sim.SimSoftwareProfile</code>
</li>
<li>
@@ -6328,24 +6270,70 @@
<li>An ISR should have an allocation to an interrupt controller</li>
</ul>
</li>
+ <li>AM-Mapping-Scheduler-Allocation-Hierarchy (ERROR – SchedulerAllocation)
+ <ul>
+ <li>A child scheduler should only be responsible for a subset of processing units of its ancestors</li>
+ </ul>
+ </li>
+ <li>AM-Mapping-Scheduler-Allocation-Top-Level-Responsibility (ERROR – MappingModel)
+ <ul>
+ <li>A processing unit should have at most one top level task scheduler and one interrupt controller responsible for it</li>
+ </ul>
+ </li>
+ <li>AM-Mapping-Scheduler-ProcessingUnit (ERROR – Scheduler)
+ <ul>
+ <li>A top level scheduler should be responsible for at least one processing unit</li>
+ </ul>
+ </li>
<li>AM-Mapping-Task-Scheduler (ERROR – Task)
<ul>
<li>A task should have an allocation to a task scheduler</li>
</ul>
</li>
- <li>Sim-Mapping-SchedulerAllocation (ERROR – SchedulerAllocation)
+ <li>Sim-Mapping-SchedulerAllocation (WARNING – SchedulerAllocation)
<ul>
<li>Executing processing unit must be set</li>
</ul>
</li>
- <li>Sim-Mapping-TaskPriorityNegative (ERROR – AbstractElementMappingConstraint)
+ </ul>
+ </li>
+ </ul>
+ <p style="padding: 10px; background: #fafafa; border: 1px solid #888; border-radius: 5px">
+ <code>org.eclipse.app4mc.amalthea.validations.sim.SimOsProfile</code><br>
+ <br>
+ <b>OS model Validations (APP4MC.sim)</b>
+ </p>
+ <ul>
+ <li>Validations:
+ <ul>
+ <li>AM-OS-Mandatory-Scheduling-Parameters-Set (ERROR – Scheduler)
<ul>
- <li>Scheduling parameter priority cannot negative</li>
+ <li>Mandatory scheduling parameters must be set</li>
</ul>
</li>
- <li>Sim-Mapping-TaskPriorityIsSet (WARNING – TaskAllocation)
+ <li>AM-OS-Scheduling-Parameter-Value-Number-Matches-Defined-Multiplicity (ERROR – Entry)
<ul>
- <li>Task priority must be set in task allocation's scheduling parameters</li>
+ <li>The number of values of the specified scheduling parameter must match the defined multiplicity in the scheduling parameter definition</li>
+ </ul>
+ </li>
+ <li>AM-OS-Scheduling-Parameter-Value-Type-Matches-Defined-Type (ERROR – Entry)
+ <ul>
+ <li>The type of the specified scheduling parameter must match the type defined in the scheduling parameter definition</li>
+ </ul>
+ </li>
+ <li>AM-OS-Standard-Scheduler-Definition-Conformance (ERROR – SchedulerDefinition)
+ <ul>
+ <li>Standard schedulers with their parameters should be modeled as defined by the APP4MC standard scheduler library</li>
+ </ul>
+ </li>
+ <li>AM-OS-Standard-Scheduling-Parameter-Definition-Conformance (ERROR – SchedulingParameterDefinition)
+ <ul>
+ <li>Scheduling parameter definition that are used in a standard scheduler should conform to the parameters defined by the APP4MC standard scheduler library</li>
+ </ul>
+ </li>
+ <li>Inchron-OS-PU-Allocation-MustBeDisjunct (INFO – OperatingSystem)
+ <ul>
+ <li>OS Scheduler to core mapping must be distinct</li>
</ul>
</li>
</ul>
@@ -6359,24 +6347,24 @@
<ul>
<li>Validations:
<ul>
- <li>Sim-Software-AbstractMemoryElementIsMapped (ERROR – ModeLabelAccess)
- <ul>
- <li>Checks if modeLabel access type is valid</li>
- </ul>
- </li>
<li>Sim-Software-AbstractMemoryElementIsMapped (ERROR – LabelAccess)
<ul>
<li>Checks if label access type is set</li>
</ul>
</li>
+ <li>Sim-Software-AbstractMemoryElementIsMapped (ERROR – Label)
+ <ul>
+ <li>Checks if label is mapped to a memory node</li>
+ </ul>
+ </li>
<li>Sim-Software-AbstractMemoryElementIsMapped (ERROR – Channel)
<ul>
<li>Checks if channel is mapped to a Memory</li>
</ul>
</li>
- <li>Sim-Software-AbstractMemoryElementIsMapped (ERROR – Label)
+ <li>Sim-Software-AbstractMemoryElementIsMapped (ERROR – ModeLabelAccess)
<ul>
- <li>Checks if label is mapped to a memory node</li>
+ <li>Checks if modeLabel access type is valid</li>
</ul>
</li>
<li>Sim-Software-ChannelAccessFeasibility (ERROR – ChannelAccess)
@@ -6842,7 +6830,7 @@
</p>
<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>
@@ -6861,7 +6849,7 @@
</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="section2.8.3.2"></a>Linked files in eclipse project (virtual files)</h4>
@@ -6874,7 +6862,7 @@
<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="section2.8.4">2.8.4 </a>How to invoke AMALTHEA model migration</h3>
@@ -6883,7 +6871,7 @@
<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>
@@ -6911,7 +6899,7 @@
</p>
<p>On click of AMALTHEA Model Migration action, the following Model Migration dialog is opened:</p>
<p>
- <img class="gray_scale" src="images/migration-menu-dialog.png" />
+ <img class="gray_scale" src="images/migration-menu-dialog.png"/>
</p>
<p>Model Migration dialog consists of following information:</p>
<ol>
@@ -6936,7 +6924,7 @@
</blockquote>
<p>The result of the migration will be shown in a new dialog:</p>
<p>
- <img class="gray_scale" src="images/migration-result.png" />
+ <img class="gray_scale" src="images/migration-result.png"/>
</p>
<p>Additionally a log file with the current date is created next to the migrated files (e.g. "ModelMigration__2019-07-30_15_43_44.log").</p>
@@ -6961,7 +6949,7 @@
<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>
@@ -6989,14 +6977,14 @@
</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>
@@ -7036,7 +7024,7 @@
<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>
@@ -7050,7 +7038,7 @@
<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...
@@ -7062,7 +7050,7 @@
<i>MapObject</i> allows nested entries.
</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>
@@ -7076,13 +7064,13 @@
<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>
@@ -7214,20 +7202,20 @@
<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>,
@@ -7236,7 +7224,7 @@
<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>
@@ -7258,31 +7246,31 @@
<dd>Defines the scenario in which all instances should have runtimes that are uniformly distributed between the specified minimum and maximum. Alpha = 1; Beta = 1.</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>
@@ -7291,7 +7279,7 @@
<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>
@@ -7301,7 +7289,7 @@
<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>
@@ -7316,7 +7304,7 @@
<i>float</i>.
</p>
<p>
- <img src="images/model_common_statistic.png" />
+ <img src="images/model_common_statistic.png"/>
</p>
@@ -7331,7 +7319,7 @@
<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>
@@ -7425,11 +7413,11 @@
<h3><a id="section3.2.10">3.2.10 </a>Conditions</h3>
<p>Conditions are used to model the conditional execution of high level elements (Runnables, Stimuli) and also the repeated or conditional execution in a detailed activity graph (Switch, WhileLoop). The conditions have a predefined structure of top level disjunction (OR) with conjunctions (AND) or single conditions as contained elements. It is similar to the disjunctive normal form (DNF) of a logical formula.</p>
<p>
- <img class="scale" src="images/model_common_conditions.png" />
+ <img class="scale" src="images/model_common_conditions.png"/>
</p>
- <p>Use of conditions:</p>
+ <p>Use of common conditions:</p>
<p>
- <img class="scale" src="images/model_common_conditions_references.png" />
+ <img class="scale" src="images/model_common_conditions_references.png"/>
</p>
@@ -7440,14 +7428,14 @@
<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>
@@ -7456,7 +7444,7 @@
<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>
@@ -7465,7 +7453,7 @@
<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>
@@ -7490,27 +7478,27 @@
</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.
@@ -7520,7 +7508,7 @@
<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>
@@ -7536,7 +7524,7 @@
<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>
@@ -7544,7 +7532,7 @@
<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>
@@ -7571,14 +7559,14 @@
<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>
@@ -7591,7 +7579,7 @@
<i>EventConfig</i>.
</p>
<p>
- <img src="images/model_config_overview.png" />
+ <img src="images/model_config_overview.png"/>
</p>
@@ -7626,14 +7614,14 @@
<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>
@@ -7659,7 +7647,7 @@
<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 here. Note that the colors of the various time slices depicted here, directly correspond to the states and colors from the BTF specification. The metrics for individual process instances include the following:</p>
<ul>
@@ -7667,19 +7655,19 @@
<i>
<b>CoreExecutionTime</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 a specific processing unit.<br>
- <img src="images/model_constraints_metric_coreexecutiontime.png" />
+ <img src="images/model_constraints_metric_coreexecutiontime.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>
@@ -7690,7 +7678,7 @@
<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>
@@ -7701,43 +7689,43 @@
<i>
<b>ParkingTime</b>
</i>: This metric quantifies the amount of time that a process instance spends between its start and termination passively waiting for the access of a resource.<br>
- <img src="images/model_constraints_metric_parkingtime.png" />
+ <img src="images/model_constraints_metric_parkingtime.png"/>
</li>
<li>
<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>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>Inter process instance metrics include the following:</p>
@@ -7747,28 +7735,28 @@
<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>
<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>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>
</ul>
<p>Count Metrics are metrics that describe absolutely how often system characteristics occur and are defined as follows:</p>
@@ -7901,7 +7889,7 @@
<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
@@ -7920,13 +7908,13 @@
<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
@@ -7948,7 +7936,7 @@
<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
@@ -7968,7 +7956,7 @@
<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>
@@ -7984,14 +7972,14 @@
</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
@@ -8035,19 +8023,19 @@
<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).
@@ -8060,14 +8048,14 @@
<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>
@@ -8089,7 +8077,7 @@
<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>
@@ -8106,7 +8094,7 @@
<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>
@@ -8134,7 +8122,7 @@
<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>
@@ -8177,7 +8165,7 @@
</li>
</ul>
<p>
- <img src="images/model_constraints_delayconstraint_onetoone.png" />
+ <img src="images/model_constraints_delayconstraint_onetoone.png"/>
</p>
<ul>
<li>
@@ -8196,7 +8184,7 @@
</li>
</ul>
<p>
- <img src="images/model_constraints_delayconstraint_reaction.png" />
+ <img src="images/model_constraints_delayconstraint_reaction.png"/>
</p>
<ul>
<li>
@@ -8207,7 +8195,7 @@
</li>
</ul>
<p>
- <img src="images/model_constraints_delayconstraint_uniquereaction.png" />
+ <img src="images/model_constraints_delayconstraint_uniquereaction.png"/>
</p>
@@ -8219,7 +8207,7 @@
<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>
@@ -8245,7 +8233,7 @@
<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>
@@ -8256,7 +8244,7 @@
<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>
@@ -8265,7 +8253,7 @@
<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>
@@ -8274,7 +8262,7 @@
<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>
@@ -8294,8 +8282,9 @@
<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>The top level structure is the following:</p>
<p>
- <img class="scale" src="images/model_events.svg" />
+ <img class="scale" src="images/model_events_event.svg"/>
</p>
<p>There are different event classes for the different entity types that can be traced: </p>
<table class="classic">
@@ -8324,6 +8313,10 @@
<td colspan="1" rowspan="1">LabelEvent</td>
</tr>
<tr>
+ <td colspan="1" rowspan="1">ModeLabel</td>
+ <td colspan="1" rowspan="1">ModeLabelEvent</td>
+ </tr>
+ <tr>
<td colspan="1" rowspan="1">Channel</td>
<td colspan="1" rowspan="1">ChannelEvent</td>
</tr>
@@ -8336,15 +8329,33 @@
<td colspan="1" rowspan="1">ComponentEvent</td>
</tr>
</table>
+
+
+<h3><a id="section3.7.1">3.7.1 </a>Entity Events</h3>
+ <p>
+ <img class="scale" src="images/model_events_entity_event.svg"/>
+ </p>
+
+
+<h3><a id="section3.7.2">3.7.2 </a>Trigger Events</h3>
+ <p>
+ <img class="scale" src="images/model_events_trigger_event.svg"/>
+ </p>
+
+
+<h3><a id="section3.7.3">3.7.3 </a>Process Events</h3>
<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.svg" />
+ <img src="images/model_events_process.svg"/>
</p>
<p>So for example the event-type-enumeration for a process event contains the events
<i>activate</i>,
<i>start</i>,
<i>resume</i>, ...
</p>
+
+
+<h3><a id="section3.7.4">3.7.4 </a>Details</h3>
<p>A description of the individual events can be found in the following table:</p>
<table class="classic">
<tr>
@@ -8446,6 +8457,23 @@
<td colspan="1" rowspan="1">The write event indicates that a label is written by a process or runnable.</td>
</tr>
<tr>
+ <td colspan="1" rowspan="4">ModeLabelEvent</td>
+ <td colspan="1" rowspan="1">read</td>
+ <td colspan="1" rowspan="1">The read event indicates that a mode label is read.</td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">write</td>
+ <td colspan="1" rowspan="1">The write event indicates that a mode label is written.</td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">increment</td>
+ <td colspan="1" rowspan="1">The increment event indicates that a mode label is written and the new value is greater than the old value.</td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">decrement</td>
+ <td colspan="1" rowspan="1">The decrement event indicates that a mode label is written and the new value is less than the old value.</td>
+ </tr>
+ <tr>
<td colspan="1" rowspan="2">SemaphoreEvent</td>
<td colspan="1" rowspan="1">lock</td>
<td colspan="1" rowspan="1">The semaphore has been requested by a runnable or process for a specific processing unit and reached the maximum number (usually 1) of assigned users.</td>
@@ -8484,25 +8512,25 @@
<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>
@@ -8752,7 +8780,7 @@
<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
@@ -8764,7 +8792,7 @@
<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).
@@ -8848,7 +8876,7 @@
<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
@@ -8913,7 +8941,7 @@
<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> (
@@ -9018,7 +9046,7 @@
<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>
@@ -9284,7 +9312,7 @@
<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
@@ -9440,12 +9468,12 @@
<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
<em>ConnectionHandler</em>) the minimum
- <em>BithWidth</em> of all included Ports have to be accounted.
+ <em>BitWidth</em> of all included Ports have to be accounted.
</p>
<p>For
<em>HwPorts</em> it's always possible to select if the port is an
@@ -9453,14 +9481,14 @@
<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>
@@ -9598,7 +9626,7 @@
<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
@@ -9616,7 +9644,7 @@
<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>
@@ -9746,7 +9774,7 @@
<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.svg" />
+ <img class="scale" src="images/model_mapping_overview.svg"/>
</p>
@@ -9760,7 +9788,7 @@
<h3><a id="section3.9.2">3.9.2 </a>Allocations</h3>
<p>
- <img class="scale" src="images/model_mapping_allocation.svg" />
+ <img class="scale" src="images/model_mapping_allocation.svg"/>
</p>
@@ -9889,14 +9917,14 @@
<h2><a id="section3.10">3.10 </a>OS Model</h2>
<p>This part of the AMALTHEA model describes the provided functionality of an operating system. Therefore the concepts of scheduling, overheads, and semaphores are supported, which are described in detail in the following chapter.</p>
<p>
- <img src="images/model_os_overview.svg" />
+ <img src="images/model_os_overview.svg"/>
</p>
<h3><a id="section3.10.1">3.10.1 </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>
@@ -9908,7 +9936,7 @@
<i>capacity</i>. Schedulers can have computation items (a subset of the runnable items) that characterize the runtime behavior (algorithmic overhead) of the scheduler.
</p>
<p>
- <img src="images/model_os_scheduler.svg" />
+ <img src="images/model_os_scheduler.svg"/>
</p>
<p>There are additional attributes in the scheduler definition to define the behavior of the scheduler in a hierarchy (parent and child schedulers):</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
@@ -9921,7 +9949,7 @@
<i>requiresParentScheduler</i>
</td>
<td colspan="1" rowspan="1">
- <i>boolean</i> attribute indicating whether a the scheduler requires a parent scheduler, defaults to
+ <i>boolean</i> attribute indicating whether the scheduler requires a parent scheduler, defaults to
<ins>false</ins>.
</td>
</tr>
@@ -9961,7 +9989,7 @@
<i>mandatory</i> parameters (if there is no default value provided).
</p>
<p>
- <img src="images/model_os_scheduling_parameters.svg" />
+ <img src="images/model_os_scheduling_parameters.svg"/>
</p>
@@ -10224,11 +10252,11 @@
<p>Details regarding proportionate fair (
<strong>Pfair</strong>) scheduling and the variants of the
<strong>PD<sup>2</sup> Pfair</strong> algorithm can be found in the dissertation "Effcient and Flexible Fair Scheduling of Real-time Tasks on Multiprocessors" by Anand Srinivasan (see
- <a href="srinidiss.html">dissertation</a> at University of North Carolina at Chapel Hill).
+ <a href="https://www.cs.unc.edu/~anderson/diss/srinidiss.pdf">dissertation</a> at University of North Carolina at Chapel Hill).
</p>
<p>An overview regarding
<strong>Reservation Servers</strong> is given in the lecture "Resource Reservation Servers" by Jan Reineke (see
- <a href="resourcereservationservers.html">lecture</a> at Saarland University).
+ <a href="https://embedded.cs.uni-saarland.de/lectures/realtimesystems/resourceReservationServers.pdf">lecture</a> at Saarland University).
</p>
@@ -10237,7 +10265,7 @@
<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 scheduling parameters for the scheduler in the hierarchical context.
</p>
<p>
- <img src="images/model_os_scheduler_association.svg" />
+ <img src="images/model_os_scheduler_association.svg"/>
</p>
<table class="classic">
<tr>
@@ -10271,7 +10299,7 @@
<h3><a id="section3.10.3">3.10.3 </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>
@@ -10333,7 +10361,7 @@
<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:
@@ -10373,7 +10401,7 @@
<h3><a id="section3.10.5">3.10.5 </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>
@@ -10425,7 +10453,7 @@
<h3><a id="section3.11.1">3.11.1 </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>
@@ -10494,20 +10522,20 @@
<h3><a id="section3.11.5">3.11.5 </a>Example</h3>
<p>
- <img src="images/model_propertyconstraints_example.png" />
+ <img src="images/model_propertyconstraints_example.png"/>
</p>
<h2><a id="section3.12">3.12 </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="section3.12.1">3.12.1 </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>
@@ -10602,30 +10630,30 @@
<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="section3.12.1.2"></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>
@@ -10644,7 +10672,7 @@
<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>
@@ -10656,7 +10684,7 @@
<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
@@ -10679,7 +10707,7 @@
<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>
@@ -10688,7 +10716,7 @@
<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
@@ -10710,7 +10738,7 @@
<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>
@@ -10731,7 +10759,7 @@
<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
@@ -10752,7 +10780,7 @@
<em>ClockStepList</em>.
</p>
<p>
- <img class="scale" src="images/model_stimuli_clocks.png" />
+ <img class="scale" src="images/model_stimuli_clocks.png"/>
</p>
@@ -10770,11 +10798,11 @@
<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>
@@ -10786,7 +10814,7 @@
<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>
@@ -10811,7 +10839,7 @@
</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>
@@ -10825,7 +10853,7 @@
</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>
@@ -10836,7 +10864,7 @@
<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>
@@ -10867,7 +10895,7 @@
<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>
@@ -10876,7 +10904,7 @@
<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">
@@ -10938,7 +10966,7 @@
<h3><a id="section3.13.3">3.13.3 </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">
@@ -10997,7 +11025,7 @@
<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>
@@ -11017,7 +11045,7 @@
</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>
@@ -11028,7 +11056,7 @@
<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>
@@ -11077,7 +11105,7 @@
<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>
@@ -11133,7 +11161,7 @@
<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>
@@ -11199,7 +11227,7 @@
<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
@@ -11207,7 +11235,7 @@
<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>
@@ -11221,7 +11249,7 @@
<i>Semaphores</i>. An overview of the different possibilities is given in the next pictures.
</p>
<p>
- <img src="images/model_sw_activity_graph_items.svg" />
+ <img src="images/model_sw_activity_graph_items.svg"/>
</p>
@@ -11231,7 +11259,7 @@
<i>ActivityGraphItems</i>.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__group.svg" />
+ <img src="images/model_sw_activity_graph_items__group.svg"/>
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -11281,7 +11309,7 @@
<strong>true</strong>.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__whileloop.svg" />
+ <img src="images/model_sw_activity_graph_items__whileloop.svg"/>
</p>
@@ -11299,7 +11327,7 @@
<i>SwitchEntries</i> is true.
</p>
<p>
- <img src="images/model_sw_activity_graph_items__switch.svg" />
+ <img src="images/model_sw_activity_graph_items__switch.svg"/>
</p>
@@ -11309,7 +11337,7 @@
<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>
@@ -11327,13 +11355,13 @@
<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.
@@ -11342,7 +11370,7 @@
<h4><a id="section3.13.10.7"></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>
@@ -11357,7 +11385,7 @@
<i>Runnable</i>.
</td>
</tr>
- <tr />
+ <tr/>
<tr>
<td colspan="1" rowspan="1">
<i>SenderReceiverCommunication</i>
@@ -11393,7 +11421,7 @@
<h4><a id="section3.13.10.8"></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>
@@ -11453,7 +11481,7 @@
<h4><a id="section3.13.10.9"></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">
@@ -11528,7 +11556,7 @@
<h4><a id="section3.13.10.10"></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>
@@ -11561,7 +11589,7 @@
<h4><a id="section3.13.10.11"></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>
@@ -11604,7 +11632,7 @@
<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>
@@ -11649,7 +11677,7 @@
<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
@@ -11672,7 +11700,7 @@
<h4><a id="section3.13.10.18"></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>
@@ -11690,19 +11718,25 @@
<h3><a id="section3.13.11">3.13.11 </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
+ <p>The actual state of a Mode is represented by a
+ <i>ModeLabel</i> or a
+ <i>LocalModeLabel</i>.
+ <br>The (global) mode labels are mainly used in
<i>Mode Conditions</i> to describe the conditional execution of a
- <i>ModeSwitchEntry</i>, a
<i>Runnable</i> or a
<i>Stimulus</i>.
+ <br>Local mode labels are defined in the context of an executable and can be modified in the activity graph.
+ <br>Both types of mode labels can be used to determine which path should be executed in a
+ <i>Switch</i> statement or how often the body of a
+ <i>WhileLoop</i> should be repeated.
</p>
-<h4><a id="section3.13.11.1"></a>Modes and Mode Labels</h4>
+<h3><a id="section3.13.12">3.13.12 </a>Mode Labels</h3>
<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
@@ -11715,9 +11749,9 @@
<i>NumericMode</i> the
<i>initialValue</i> has to be the string representation of an integer.
</p>
- <p>The
- <i>Mode Label</i> element represents a concrete representation of a specific
- <i>Mode</i>. Is is described using the following attributes:
+ <p>Both
+ <i>Mode Label</i> elements are a concrete representation of a specific
+ <i>Mode</i>. They are described using the following attributes:
</p>
<table class="minimal" style="padding:10px; border:1px solid black; background:#f8f8f8">
<tr>
@@ -11748,34 +11782,95 @@
<td colspan="1" rowspan="1">
<i>initialValue</i>
</td>
- <td colspan="1" rowspan="1">String representation of the initial value</td>
+ <td colspan="1" rowspan="1">String representation of the initial value (of a mode label)</td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">
+ <i>defaultValue</i>
+ </td>
+ <td colspan="1" rowspan="1">String representation of the default value (of a local mode label)</td>
</tr>
</table>
-<h4><a id="section3.13.11.2"></a>Mode Changes</h4>
- <p>The value of the mode label can be changed using the set-mode-value-list of a
+<h4><a id="section3.13.12.1"></a>Mode Changes</h4>
+ <p>The value of a (global) mode label can be changed using the set-mode-value-list of a
<i>Stimulus</i>.
</p>
- <p>Another possibility is a write access within a Runnable via a
- <i>Mode Label Access</i>.
+ <p>Another possibility is a write access within an
+ <i>Activity Graph</i> via a
+ <i>Mode Label Access</i> or
+ <i>Local Mode Label Assignment</i>.
</p>
-<h4><a id="section3.13.11.3"></a>Mode Conditions</h4>
+<h4><a id="section3.13.12.2"></a>Mode Conditions</h4>
<p>Mode conditions allow to specify dedicated states of the overall system.
- <br>Depending on the condition evaluation (via
- <i>isSatisfiedBy()</i>) switches can be executed or stimuli can be influenced.
+ <br>Depending on the condition evaluation switches can be executed or stimuli can be influenced.
<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="section3.13.12">3.13.12 </a>Process Prototypes</h3>
+<h3><a id="section3.13.13">3.13.13 </a>Local Mode Labels</h3>
+ <p>Local mode labels are defined in the context of an executable (Task, ISR or Runnable).</p>
+ <p>The class diagram shows the abstract class
+ <strong>LocalModeValue</strong> that provides the connection between a local mode label and a value source.
+ </p>
<p>
- <img class="scale" src="images/model_sw_process_prototype.png" />
+ <img class="scale" src="images/model_sw_local_mode_value.png"/>
+ </p>
+ <p>Possible value sources:</p>
+ <ul>
+ <li>Constants (integer values or mode literals)</li>
+ <li>Values of other mode labels</li>
+ <li>Fill levels of channels</li>
+ <li>Arithmetic expressions</li>
+ </ul>
+ <p>The subclasses are used for comparison and assignment.</p>
+ <p>
+ <img class="scale" src="images/model_sw_local_mode_value_hierarchy.png"/>
+ </p>
+
+
+<h4><a id="section3.13.13.1"></a>Local Mode Label Assignment</h4>
+ <p>The
+ <i>Local Mode Label Assignment</i> offers a number of possibilities to change the value of a local mode label. Values can be constant, the copied value of another mode label or even the result of an arithmetic expression.
+ </p>
+ <p>The
+ <i>Mode Label Assignment</i> simply provides a way to copy the content of a local mode label to a global one.
+ </p>
+ <p>
+ <img class="scale" src="images/model_sw_mode_assignment.png"/>
+ </p>
+
+
+<h4><a id="section3.13.13.2"></a>Local Mode Conditions</h4>
+ <p>Local mode conditions are available where local mode labels are accessible. That means they can be used in
+ <i>Switch</i> or
+ <i>WhileLoop</i> statements in the activity graph of an executable.
+ </p>
+ <p>
+ <img class="scale" src="images/model_sw_local_mode_condition.png"/>
+ </p>
+
+
+<h4><a id="section3.13.13.3"></a>Local mode label examples</h4>
+ <p>The following example shows a local mode label "loop1" that represents a numeric mode called "Counter". It is defined in the scope of the runnable "ABSCalculation". This scope is also seen in all references to the local mode label where the qualified name "ABSCalculation.loop1" has to be used. The value of the local mode label is modified and checked by several items of the activity graph: the value is set, checked in the loop condition of a while loop and decremented in the loop body. The last line shows that it is also possible to store the value of a local mode label in a (global) mode label.</p>
+ <p>
+ <img class="scale" src="images/model_sw_local_mode_label_counter.png"/>
+ </p>
+ <p>The local mode labels of an executable are available only during the execution. The next part of the example shows how to initialize local mode labels of the called runnable as part of the runnable call. This feature allows to set the context of a specific invocation and the runnable can react accordingly (e.g. by executing different paths of the activity graph).</p>
+ <p>
+ <img class="scale" src="images/model_sw_local_mode_label_call_context.png"/>
+ </p>
+
+
+<h3><a id="section3.13.14">3.13.14 </a>Process Prototypes</h3>
+ <p>
+ <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
@@ -11783,20 +11878,20 @@
<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.
</p>
-<h3><a id="section3.13.13">3.13.13 </a>Process Chains</h3>
+<h3><a id="section3.13.15">3.13.15 </a>Process Chains</h3>
<p>The following figure shows the structure which describes
<i>Process Chains</i> in the AMALTHEA software model. A process chain is used to group task and isrs together which are executing after each other and represent an end-to-end data processing path. The processes inside a process chain are connected via
<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">
@@ -11819,9 +11914,9 @@
</table>
-<h3><a id="section3.13.14">3.13.14 </a>Custom Entities</h3>
+<h3><a id="section3.13.16">3.13.16 </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
@@ -11830,7 +11925,7 @@
</p>
-<h3><a id="section3.13.15">3.13.15 </a>Section</h3>
+<h3><a id="section3.13.17">3.13.17 </a>Section</h3>
<p>Section (Virtual Memory Section) is used to group the memory elements (Labels, Runnables). This is achieved by associating the
<strong>Section</strong> element to
<strong>Label</strong> &
@@ -11842,25 +11937,25 @@
<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>
-<h3><a id="section3.13.16">3.13.16 </a>Data Dependencies and Runnable Parameters</h3>
+<h3><a id="section3.13.18">3.13.18 </a>Data Dependencies and Runnable Parameters</h3>
-<h4><a id="section3.13.16.1"></a>Overview</h4>
+<h4><a id="section3.13.18.1"></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>
-<h4><a id="section3.13.16.2"></a>Elements with data dependency</h4>
+<h4><a id="section3.13.18.2"></a>Elements with data dependency</h4>
<p>The data flow is specified with "depends on" references. Elements that can specify a dependency are:</p>
<ul>
<li>
@@ -11880,11 +11975,11 @@
</li>
</ul>
<p>
- <img src="images/model_sw_depends_on.png" />
+ <img src="images/model_sw_depends_on.png"/>
</p>
-<h4><a id="section3.13.16.3"></a>Data Dependency</h4>
+<h4><a id="section3.13.18.3"></a>Data Dependency</h4>
<p>A data dependency defines the elements that can influence a value that is written or transferred. Possible origins are:</p>
<ul>
<li>
@@ -11904,7 +11999,7 @@
</li>
</ul>
<p>
- <img src="images/model_sw_data_dependency.png" />
+ <img src="images/model_sw_data_dependency.png"/>
</p>
</article>
@@ -11947,7 +12042,7 @@
<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>
@@ -11992,7 +12087,7 @@
</li>
</ol>
<p>
- <img src="images/visualization-view.png" />
+ <img src="images/visualization-view.png"/>
</p>
<p>The whole red area can be used to render the visualization.</p>
@@ -12062,7 +12157,7 @@
<p><!-- --></p>
<p>Once above steps are followed, visualization plugin contents should look like below:</p>
<p>
- <img class="gray_scale" src="images/visualization-plugin-content.png" />
+ <img class="gray_scale" src="images/visualization-plugin-content.png"/>
</p>
<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
@@ -12155,7 +12250,7 @@
</ul>
<p>Example:</p>
<p>
- <img src="images/code_validation_1.png" />
+ <img src="images/code_validation_1.png"/>
</p>
@@ -12168,10 +12263,10 @@
</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>
@@ -12207,7 +12302,7 @@
<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>
@@ -12222,14 +12317,14 @@
<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
@@ -12239,7 +12334,7 @@
<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:
@@ -12268,7 +12363,7 @@
<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>
@@ -12282,7 +12377,7 @@
<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();
@@ -12313,7 +12408,7 @@
</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();
@@ -12334,7 +12429,7 @@
<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();
@@ -12409,7 +12504,7 @@
<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>
@@ -12432,7 +12527,7 @@
<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 {
@@ -12454,7 +12549,7 @@
<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 {
@@ -12474,7 +12569,7 @@
<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 {
@@ -12728,7 +12823,7 @@
<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>
@@ -12741,7 +12836,64 @@
</p>
-<h4><a id="section4.5.4.1"></a>Version APP4MC 1.2.0 to APP4MC 2.0.0</h4>
+<h4><a id="section4.5.4.1"></a>Version APP4MC 2.0.0 to APP4MC 2.1.0</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 2.0.0)</em>
+ </strong>
+ </td>
+ <td colspan="1" rowspan="1">
+ <strong>
+ <em>AMALTHEA Namespace (version APP4MC 2.1.0)</em>
+ </strong>
+ </td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">http://app4mc.eclipse.org/amalthea/2.0.0</td>
+ <td colspan="1" rowspan="1">http://app4mc.eclipse.org/amalthea/2.1.0</td>
+ </tr>
+ </table>
+ <p>
+ <strong>Following Class is extended:</strong>
+ </p>
+ <table class="classic" style="margin-left:40px">
+ <tr>
+ <td colspan="1" rowspan="1">
+ <strong>
+ <em>Sub model</em>
+ </strong>
+ </td>
+ <td colspan="1" rowspan="1">
+ <strong>
+ <em>Class</em>
+ </strong>
+ </td>
+ <td colspan="1" rowspan="1">
+ <strong>
+ <em>New attribute</em>
+ </strong>
+ </td>
+ <td colspan="1" rowspan="1">
+ <strong>
+ <em>Model Migration behavior</em>
+ </strong>
+ </td>
+ </tr>
+ <tr>
+ <td colspan="1" rowspan="1">SWModel</td>
+ <td colspan="1" rowspan="1">ChannelFillCondition</td>
+ <td colspan="1" rowspan="1">relation</td>
+ <td colspan="1" rowspan="1">Value is set to "GREATER_THAN_OR_EQUAL" to preserve former semantics.</td>
+ </tr>
+ </table>
+
+
+<h4><a id="section4.5.4.2"></a>Version APP4MC 1.2.0 to APP4MC 2.0.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13187,7 +13339,7 @@
</table>
-<h4><a id="section4.5.4.2"></a>Version APP4MC 1.1.0 to APP4MC 1.2.0</h4>
+<h4><a id="section4.5.4.3"></a>Version APP4MC 1.1.0 to APP4MC 1.2.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13211,7 +13363,7 @@
</table>
-<h4><a id="section4.5.4.3"></a>Version APP4MC 1.0.0 to APP4MC 1.1.0</h4>
+<h4><a id="section4.5.4.4"></a>Version APP4MC 1.0.0 to APP4MC 1.1.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13235,7 +13387,7 @@
</table>
-<h4><a id="section4.5.4.4"></a>Version APP4MC 0.9.9 to APP4MC 1.0.0</h4>
+<h4><a id="section4.5.4.5"></a>Version APP4MC 0.9.9 to APP4MC 1.0.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13331,7 +13483,7 @@
</table>
-<h4><a id="section4.5.4.5"></a>Version APP4MC 0.9.8 to APP4MC 0.9.9</h4>
+<h4><a id="section4.5.4.6"></a>Version APP4MC 0.9.8 to APP4MC 0.9.9</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13355,7 +13507,7 @@
</table>
-<h4><a id="section4.5.4.6"></a>Version APP4MC 0.9.7 to APP4MC 0.9.8</h4>
+<h4><a id="section4.5.4.7"></a>Version APP4MC 0.9.7 to APP4MC 0.9.8</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13379,7 +13531,7 @@
</table>
-<h4><a id="section4.5.4.7"></a>Version APP4MC 0.9.6 to APP4MC 0.9.7</h4>
+<h4><a id="section4.5.4.8"></a>Version APP4MC 0.9.6 to APP4MC 0.9.7</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13575,7 +13727,7 @@
</table>
-<h4><a id="section4.5.4.8"></a>Version APP4MC 0.9.5 to APP4MC 0.9.6</h4>
+<h4><a id="section4.5.4.9"></a>Version APP4MC 0.9.5 to APP4MC 0.9.6</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13706,7 +13858,7 @@
</table>
-<h4><a id="section4.5.4.9"></a>Version APP4MC 0.9.4 to APP4MC 0.9.5</h4>
+<h4><a id="section4.5.4.10"></a>Version APP4MC 0.9.4 to APP4MC 0.9.5</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -13945,7 +14097,7 @@
</table>
-<h4><a id="section4.5.4.10"></a>Version APP4MC 0.9.3 to APP4MC 0.9.4</h4>
+<h4><a id="section4.5.4.11"></a>Version APP4MC 0.9.3 to APP4MC 0.9.4</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -14255,7 +14407,7 @@
</table>
-<h4><a id="section4.5.4.11"></a>Version APP4MC 0.9.2 to APP4MC 0.9.3</h4>
+<h4><a id="section4.5.4.12"></a>Version APP4MC 0.9.2 to APP4MC 0.9.3</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -14561,7 +14713,7 @@
</table>
-<h4><a id="section4.5.4.12"></a>Version APP4MC 0.9.1 to APP4MC 0.9.2</h4>
+<h4><a id="section4.5.4.13"></a>Version APP4MC 0.9.1 to APP4MC 0.9.2</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -14585,7 +14737,7 @@
</table>
-<h4><a id="section4.5.4.13"></a>Version APP4MC 0.9.0 to APP4MC 0.9.1</h4>
+<h4><a id="section4.5.4.14"></a>Version APP4MC 0.9.0 to APP4MC 0.9.1</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -14630,7 +14782,7 @@
</table>
-<h4><a id="section4.5.4.14"></a>Version APP4MC 0.8.3 to APP4MC 0.9.0</h4>
+<h4><a id="section4.5.4.15"></a>Version APP4MC 0.8.3 to APP4MC 0.9.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -14985,7 +15137,7 @@
</table>
-<h4><a id="section4.5.4.15"></a>Version APP4MC 0.8.2 to APP4MC 0.8.3</h4>
+<h4><a id="section4.5.4.16"></a>Version APP4MC 0.8.2 to APP4MC 0.8.3</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -15249,7 +15401,7 @@
</table>
-<h4><a id="section4.5.4.16"></a>Version APP4MC 0.8.1 to APP4MC 0.8.2</h4>
+<h4><a id="section4.5.4.17"></a>Version APP4MC 0.8.1 to APP4MC 0.8.2</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -15273,7 +15425,7 @@
</table>
-<h4><a id="section4.5.4.17"></a>Version APP4MC 0.8.0 to APP4MC 0.8.1</h4>
+<h4><a id="section4.5.4.18"></a>Version APP4MC 0.8.0 to APP4MC 0.8.1</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -15563,7 +15715,7 @@
</table>
-<h4><a id="section4.5.4.18"></a>Version APP4MC 0.7.2 to APP4MC 0.8.0</h4>
+<h4><a id="section4.5.4.19"></a>Version APP4MC 0.7.2 to APP4MC 0.8.0</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -15800,7 +15952,7 @@
</table>
-<h4><a id="section4.5.4.19"></a>Version APP4MC 0.7.1 to APP4MC 0.7.2</h4>
+<h4><a id="section4.5.4.20"></a>Version APP4MC 0.7.1 to APP4MC 0.7.2</h4>
<p>
<strong>Change in the namespace:</strong>
</p>
@@ -16233,7 +16385,7 @@
<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>
@@ -16252,11 +16404,11 @@
<em>undefined</em>" (default)
</td>
</tr>
- <tr />
+ <tr/>
</table>
-<h4><a id="section4.5.4.20"></a>Version APP4MC 0.7.0 to APP4MC 0.7.1</h4>
+<h4><a id="section4.5.4.21"></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>
@@ -16638,7 +16790,7 @@
<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>
@@ -16662,7 +16814,7 @@
<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>
@@ -16670,9 +16822,9 @@
<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">
@@ -16754,10 +16906,10 @@
</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">
@@ -16903,10 +17055,10 @@
<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">
@@ -16940,10 +17092,10 @@
<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">
@@ -17015,10 +17167,10 @@
</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">
@@ -17080,10 +17232,10 @@
<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">
@@ -17117,10 +17269,10 @@
<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">
@@ -17154,10 +17306,10 @@
<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">
@@ -17191,10 +17343,10 @@
<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">
@@ -17270,10 +17422,10 @@
<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">
@@ -17335,10 +17487,10 @@
<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">
@@ -17470,7 +17622,7 @@
<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>
@@ -17501,26 +17653,26 @@
<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>
@@ -17563,7 +17715,7 @@
</ul>
<p>The database schema as Entity Relationship diagram:</p>
<p>
- <img src="images/atdb_db_schema.svg" />
+ <img src="images/atdb_db_schema.svg"/>
</p>
@@ -18324,7 +18476,42 @@
<h1><a id="section5">5 </a>Release Notes</h1>
-<h2><a id="section5.1">5.1 </a>Eclipse APP4MC 2.0.0 (Nov 2021)</h2>
+<h2><a id="section5.1">5.1 </a>Eclipse APP4MC 2.1.0 (Apr 2022)</h2>
+ <p>Model handling</p>
+ <ul>
+ <li>Model migration support (2.0.0 -> 2.1.0)</li>
+ </ul>
+ <p>Model</p>
+ <ul>
+ <li>Extended ChannelFillCondition (attribute: relation)</li>
+ <li>Extended relational operators (<=, >=)</li>
+ <li>Added support for local mode labels</li>
+ <li>Added ModeLabelEvent</li>
+ </ul>
+ <p>Product</p>
+ <ul>
+ <li>New visualizations:
+ <ul>
+ <li>Runnable dependencies</li>
+ <li>Namespace members</li>
+ </ul>
+ </li>
+ <li>Validations: New APP4MC.sim validations</li>
+ <li>Better handling of model compress / uncompress</li>
+ <li>New preference settings (editor preferences)</li>
+ <li>Several bug fixes</li>
+ </ul>
+ <p>Recommended Java runtime is
+ <strong>Java 11</strong>.<br>Minimum is Java 8 (with limitations if JavaFX is not included).
+ </p>
+ <p>
+ <em>For details see
+ <a href="https://projects.eclipse.org/projects/automotive.app4mc/releases/2.1.0/bugs">Release 2.1.0 issues</a>
+ </em>
+ </p>
+
+
+<h2><a id="section5.2">5.2 </a>Eclipse APP4MC 2.0.0 (Nov 2021)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (1.2.0 -> 2.0.0)</li>
@@ -18362,7 +18549,7 @@
</p>
-<h2><a id="section5.2">5.2 </a>Eclipse APP4MC 1.2.0 (Jul 2021)</h2>
+<h2><a id="section5.3">5.3 </a>Eclipse APP4MC 1.2.0 (Jul 2021)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (1.1.0 -> 1.2.0)</li>
@@ -18401,7 +18588,7 @@
</p>
-<h2><a id="section5.3">5.3 </a>Eclipse APP4MC 1.1.0 (Apr 2021)</h2>
+<h2><a id="section5.4">5.4 </a>Eclipse APP4MC 1.1.0 (Apr 2021)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (1.0.0 -> 1.1.0)</li>
@@ -18431,7 +18618,7 @@
</p>
-<h2><a id="section5.4">5.4 </a>Eclipse APP4MC 1.0.0 (Nov 2020)</h2>
+<h2><a id="section5.5">5.5 </a>Eclipse APP4MC 1.0.0 (Nov 2020)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.9 -> 1.0.0)</li>
@@ -18459,7 +18646,7 @@
</p>
-<h2><a id="section5.5">5.5 </a>Eclipse APP4MC 0.9.9 (Jul 2020)</h2>
+<h2><a id="section5.6">5.6 </a>Eclipse APP4MC 0.9.9 (Jul 2020)</h2>
<p>Model handling</p>
<ul>
<li>Model migration support (0.9.8 -> 0.9.9)</li>
@@ -18486,7 +18673,7 @@
</p>
-<h2><a id="section5.6">5.6 </a>Eclipse APP4MC 0.9.8 (Apr 2020)</h2>
+<h2><a id="section5.7">5.7 </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>
@@ -18507,7 +18694,7 @@
</p>
-<h2><a id="section5.7">5.7 </a>Eclipse APP4MC 0.9.7 (Jan 2020)</h2>
+<h2><a id="section5.8">5.8 </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>
@@ -18530,7 +18717,7 @@
</p>
-<h2><a id="section5.8">5.8 </a>Eclipse APP4MC 0.9.6 (Oct 2019)</h2>
+<h2><a id="section5.9">5.9 </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>
@@ -18555,7 +18742,7 @@
</p>
-<h2><a id="section5.9">5.9 </a>Eclipse APP4MC 0.9.5 (Jul 2019)</h2>
+<h2><a id="section5.10">5.10 </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>
@@ -18574,7 +18761,7 @@
</p>
-<h2><a id="section5.10">5.10 </a>Eclipse APP4MC 0.9.4 (Apr 2019)</h2>
+<h2><a id="section5.11">5.11 </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>
@@ -18594,7 +18781,7 @@
</p>
-<h2><a id="section5.11">5.11 </a>Eclipse APP4MC 0.9.3 (Jan 2019)</h2>
+<h2><a id="section5.12">5.12 </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>
@@ -18613,7 +18800,7 @@
</p>
-<h2><a id="section5.12">5.12 </a>Eclipse APP4MC 0.9.2 (Oct 2018)</h2>
+<h2><a id="section5.13">5.13 </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>
@@ -18631,7 +18818,7 @@
</p>
-<h2><a id="section5.13">5.13 </a>Eclipse APP4MC 0.9.1 (Jul 2018)</h2>
+<h2><a id="section5.14">5.14 </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>
@@ -18651,7 +18838,7 @@
</ul>
-<h2><a id="section5.14">5.14 </a>Eclipse APP4MC 0.9.0 (Apr 2018)</h2>
+<h2><a id="section5.15">5.15 </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>
@@ -18667,7 +18854,7 @@
<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="section5.15">5.15 </a>Eclipse APP4MC 0.8.3 (Jan 2018)</h2>
+<h2><a id="section5.16">5.16 </a>Eclipse APP4MC 0.8.3 (Jan 2018)</h2>
<p>General</p>
<ul>
<li>New Eclipse Neon.3 based product</li>
@@ -18691,7 +18878,7 @@
</p>
-<h2><a id="section5.16">5.16 </a>Eclipse APP4MC 0.8.2 (Oct 2017)</h2>
+<h2><a id="section5.17">5.17 </a>Eclipse APP4MC 0.8.2 (Oct 2017)</h2>
<p>General</p>
<ul>
<li>Model changes (extensions)</li>
@@ -18716,7 +18903,7 @@
</p>
-<h2><a id="section5.17">5.17 </a>Eclipse APP4MC 0.8.1 (Jul 2017)</h2>
+<h2><a id="section5.18">5.18 </a>Eclipse APP4MC 0.8.1 (Jul 2017)</h2>
<p>General</p>
<ul>
<li>Model changes (extension and harmonization)</li>
@@ -18743,7 +18930,7 @@
</p>
-<h2><a id="section5.18">5.18 </a>Eclipse APP4MC 0.8.0 (Apr 2017)</h2>
+<h2><a id="section5.19">5.19 </a>Eclipse APP4MC 0.8.0 (Apr 2017)</h2>
<p>General</p>
<ul>
<li>Model changes (mainly to simplify handling)</li>
@@ -18768,7 +18955,7 @@
</p>
-<h2><a id="section5.19">5.19 </a>Eclipse APP4MC 0.7.2 (Jan 2017)</h2>
+<h2><a id="section5.20">5.20 </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>
@@ -18808,7 +18995,7 @@
</p>
-<h2><a id="section5.20">5.20 </a>Eclipse APP4MC 0.7.1 (Oct 2016)</h2>
+<h2><a id="section5.21">5.21 </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>
@@ -18834,7 +19021,7 @@
</p>
-<h2><a id="section5.21">5.21 </a>Eclipse APP4MC 0.7.0 (Jul 2016)</h2>
+<h2><a id="section5.22">5.22 </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>
diff --git a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/ecore-definitions.zip b/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/ecore-definitions.zip
index 218d931..0eb738f 100644
--- a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/ecore-definitions.zip
+++ b/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/ecore-definitions.zip
Binary files differ
diff --git a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/xml-definitions.zip b/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/xml-definitions.zip
index 5f6f9e2..51f1e69 100644
--- a/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/xml-definitions.zip
+++ b/websites/www.eclipse.org-app4mc-hugo/site/static/help/latest/zip/xml-definitions.zip
Binary files differ
