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Compositional Predictability Analysis of Mixed Critical Real Time Systems
Linköping University, Department of Computer and Information Science. Linköping University, Faculty of Science & Engineering. (RTSLAB)
Queen's University Canada.
Queen's University Canada.
INRIA Rennes France.
2016 (English)In: FORMAL TECHNIQUES FOR SAFETY-CRITICAL SYSTEMS, (FTSCS 2015) / [ed] Artho and P.C. Olveczky, Springer, 2016, Vol. 596, 69-84 p.Conference paper (Refereed)
Abstract [en]

This paper introduces a compositional framework for analyzing the predictability of component-based embedded real-time systems. The framework utilizes automated analysis of tasks and communication architdepicts the structureectures to provide insight on the schedulability and data flow. The communicating tasks are gathered within components, making the system architecture hierarchical. The system model is given by a set of Parameterized Stopwatch Automata modeling the behavior and dependency of tasks, while we use Uppaal to analyze the predictability. Thanks to the Uppaal language, our model-based framework allows expressive modeling of the behavior. Moreover, our reconfigurable framework is customizable and scalable due to the compositional analysis. The analysis time and cost benefits of our framework are discussed through an avionic case study.

Place, publisher, year, edition, pages
Springer, 2016. Vol. 596, 69-84 p.
Series
, Communications in Computer and Information Science, ISSN 1865-0929 ; 596
Keyword [en]
Predictability, mixed criticality, compositionality, coomponet-based, real-time systems
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:liu:diva-124541DOI: 10.1007/978-3-319-29510-7_4ISI: 000371403600004ISBN: 978-3-319-29510-7; 978-3-319-29509-1OAI: oai:DiVA.org:liu-124541DiVA: diva2:899628
Conference
4th International Workshop on Formal Techniques for Safety-Critical Systems (FTSCS)
Available from: 2016-02-02 Created: 2016-02-02 Last updated: 2016-04-07Bibliographically approved

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The full text will be freely available from 2016-11-06 15:21
Available from 2016-11-06 15:21

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Boudjadar, Abdeldjalil
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Department of Computer and Information ScienceFaculty of Science & Engineering
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