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Trace-Based Statistical Timing Analysis of Complex Industrial Real-Time Embedded Systems
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-7366-7186
2011 (English)In: Real-Time in Sweden 2011 (RTiS' 11), 2011Conference paper, Published paper (Refereed)
Abstract [en]

Real-time embedded systems are becoming ever more complex, and we are reaching the stage where even if static Response-Time Analysis (RTA) was feasible from a cost and technical perspective, the results are overly pessimistic making them less useful to the practitioner. When combined with the fact that most timing analysis tends to be statistical in nature, this suggests there should be a move toward statistical RTA, which gives a task's worst-case response time estimate under a predictable probability of being exceeded. However, to make such analysis useful, it is imperative that we have evidence that the statistical RTA and the information analyzed is sufficiently accurate. In this project, we will address the above issue by presenting and validating a statistical RTA technique based around analyzing timing traces taken from real systems, which can cope with systems that are complex from both a size and tasks' dependencies perspective, as well as some typical case when the source code and/or object code of systems is/are withheld due to the protection of intellectual property.

Place, publisher, year, edition, pages
2011.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-13672OAI: oai:DiVA.org:mdh-13672DiVA: diva2:466216
Conference
Real-Time in Sweden 2011 (RTiS' 11), Västerås, Sweden, 2011
Available from: 2011-12-15 Created: 2011-12-15 Last updated: 2015-07-31Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
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