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Integrating Embedded System Design Tools in the Generic Modeling Environment

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Integrating Embedded System Design Tools in the Generic Modeling Environment

Peter Tureby, Fredrik Wester

Final Project at the Embedded Systems Lab Linköping University, Sweden

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Work Packages

WP1: SymTA/S model

2005-04-30

WP2: Interface to holistic analysis

2005-04-30

WP3: Worst-case scenario visualization

2005-04-30: Can it be done in GME?

WP4: Complex modeling

Model to be received from Paul: 2005-05-09

2005-06-06

WP5: Interface to Traian’s analysis tool

2005-06-17

WP6: Documentation

Start latest on 2005-06-13

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Work Package #1

 SymTA/S model

 Implement the SymTA/S model in GME

Same entities and attributes

Specify the architecture separately

What are the constraints and how to write them?

 Examples

Model Kai Richter’s RTSS example

Model a more complex example

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WP1 Model: Process

 Process

 Name (process name, or “identifier”)

 BCET (best case execution time on the resource it is mapped to, in milliseconds)

 WCET (worst case execution time on the resource it is mapped to, in milliseconds)

 Priority (process priority, natural number)

 Period (how often is the process executed, natural number)

 Jitter (optional; natural number)

 Offset (optional; natural number)

 Deadline (optional; natural number)

 Note

 See my thesis (page 144) for a definition of these terms

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WP1 Model: Message and Resource

 Message

 Name

 Size (the size of the message, in bits)

 Resource

 Name

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WP1 Model: Notes

 Notes:

 It is assumed that all processes and messages are scheduled using

“Fixed-Priority Preemptive Scheduling” (FPS)

 Processes can be connected to each other in an application graph

Processes can be connected through messages…

For example, P1->m1->P2

…but also directly

For example, P1->P2

The application graph should have no cycles

 Resources can be connected to each other

For example, several CPUs are connected to a bus

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Work Package #2

 Interface to holistic analysis

 Holistic analysis implementation from MAST

Decide which implementation to use

Traian’s (C)

Sorin’s (C)

 Integrate the analysis with WP1

How to pass the model to the analysis tool?

How to send the results back to GME?

 Analyze the two examples from WP1

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Work Package #3

 Worst-case scenario visualization

 For a given process, visualize it’s worst-case scenario

How should a worst-case scenario be depicted?

See SymTA/S for an example

Is it possible to use GME for the visualization, or do you have to build an external tool?

Write by hand the worst-case scenario of a process in one of the examples from WP1

 The worst-case scenario is produced by the analysis tool

How to pass it to GME?

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Work Package #4

 Complex modeling

 Decide on a more complex model (responsible:

Paul, Sorin, Traian)

 Extend the SymTA/S model to the complex model

What are the constraints and how to write them?

 Three examples

Model an example from Traian

Hierarchical scheduling and FlexRay

Model an example from Sorin

Stochastic execution times

Model an example from Paul

Multi-cluster

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Work Package #5

 Interface to Traian’s analysis tool

 Integrate Traian’s analysis tool in GME

Complex modeling

Traian’s example from WP4

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Work Package #6

 Documentation

 The metamodels and the source code should be documented in English

 Report

Preferably in English (Swedish is OK)

Preferably written in LaTeX (Word, or FrameMaker is also fine)

 Presentation

In English

Presented in an ESLAB meeting

Before the summer?

Use this template in PowerPoint

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Action Points

 Discuss with Paul

 Clarify what has to be done for each WP

 Decide who does what work package

 Decide on milestones

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Report ToC

Suggested Table of Contents

Introduction

Embedded systems design

Modeling

Analysis

Motivation

Analysis tools at ESLAB

Related work

SymTA/S interface

Aires’ interface in GME

MAST interface

Modeling using GME

Generic Modeling Environment

Simple (SymTA/S) model

Examples

Complex model

Examples

Tool integration in GME

Design choices

ESLAB’s tools integration

Examples

Worst-case scenario visualization

Examples

Conclusions and future work

References

Referencer

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