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MECHAniSer - A Timing Analysis and Synthesis Tool for Multi-Rate Effect Chains with Job-Level Dependencies
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1276-3609
Research and Technology Centre, Robert Bosch, India.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3242-6113
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1687-930X
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2016 (English)In: 7th International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems WATERS'16, 2016Conference paper, Published paper (Refereed)
Abstract [en]

Many industrial embedded systems have timing con- straints on the data propagation through a chain of independent tasks. These tasks can execute at different periods which leads to under and oversampling of data. In such situations, understand- ing and validating the temporal correctness of end-to-end delays is not trivial. Many industrial areas further face distributed development where different functionalities are integrated on the same platform after the development process. The large effect of scheduling decisions on the end-to-end delays can lead to expensive redesigns of software parts due to the lack of analysis at early design stages. Job-level dependencies is one solution for this challenge and means of scheduling such systems are available. In this paper we present MECHAniSer, a tool targeting the early analysis of end-to-end delays in multi-rate cause effect chains with specified job-level dependencies. The tool further provides the possibility to synthesize job-level dependencies for a set of cause-effect chains in a way such that all end-to-end requirements are met. The usability and applicability of the tool to industrial problems is demonstrated via a case study.

Place, publisher, year, edition, pages
2016.
Keyword [en]
Cause-Effect ChainAutomotiveReal-TimeJob-Level DependencySynthesis
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-32871OAI: oai:DiVA.org:mdh-32871DiVA: diva2:956921
Conference
7th International Workshop on Analysis Tools and Methodologies for Embedded and Real-time Systems WATERS'16, 05 Jul 2016, Toulouse, France
Projects
PRESS - Predictable Embedded Software SystemsPREMISE - Predictable Multicore SystemsDPAC - Dependable Platforms for Autonomous systems and Control
Available from: 2016-08-31 Created: 2016-08-24 Last updated: 2016-08-31Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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