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A Trace-Based Stati...
A Trace-Based Statistical Worst-Case Execution Time Analysis of Component-Based Real-Time Embedded Systems
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- Lu, Yue (författare)
- Mälardalens högskola,Akademin för innovation, design och teknik
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- Nolte, Thomas (författare)
- Mälardalens högskola,Akademin för innovation, design och teknik
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- Bate, Iain (författare)
- University of York
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- Cucu-Grosjean, Liliana (författare)
- INRIA Nancy-Grand Est, Nancy, France
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(creator_code:org_t)
- New York : IEEE, 2011
- 2011
- Engelska.
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Ingår i: 2011 IEEE 16TH CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION (ETFA). - New York : IEEE. - 9781457700187
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- This paper describes the tool support for a framework for performing statistical WCET analysis of real-time embedded systems by using bootstrapping sampling and Extreme Value Theory (EVT). To be specific, bootstrapping sampling is used to generate timing traces, which not only fulfill the requirements given by statistics and probability theory, but also are robust to use in the context of estimating the WCET of programs. Next, our proposed statistical inference uses EVT to analyze such timing traces, and computes a WCET estimate of the target program, pertaining to a given predictable probability. The evaluation results show that our proposed method could have the potential of being able to provide a tighter upper bound on the WCET estimate of the programs under analysis, when compared to the estimates given by the referenced WCET analysis methods.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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