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A statistical response-time analysis of real-time embedded systems
Mälardalen University, School of Innovation, Design and Engineering. (Mälardalen Real-Time Research Centre)ORCID iD: 0000-0002-7366-7186
Mälardalen University, School of Innovation, Design and Engineering. (Mälardalen Real-Time Research Centre)ORCID iD: 0000-0001-6132-7945
Mälardalen University, School of Innovation, Design and Engineering. (Mälardalen Real-Time Research Centre)ORCID iD: 0000-0003-2415-8219
INRIA Nancy-Grand Est.
2012 (English)In: Proceedings - Real-Time Systems Symposium, 2012, 2012, p. 351-362Conference paper, Published paper (Refereed)
Abstract [en]

Real-time embedded systems are becoming ever more complex. We are reaching the stage where even if static Response-Time Analysis (RTA) was feasible from a cost and technical perspective, the results of such an analysis are overly pessimistic. This makes them less useful to the practitioner. In addition, the temporal validation and verification of such systems in some applications, e.g., aeronautics, requires the probability of obtaining a worst-case response time larger than a given value in order to support dependable system functions. All these facts advocate moving toward statistical RTA, which instead of calculating absolute worst-case timing guarantees, computes a probabilistic worst-case response time estimate. The contribution of this paper is to present and evaluate such a statistical RTA technique which uses a black box view of the systems under analysis, by not requiring estimates of parameters such as worst-case execution times of tasks. Furthermore, our analysis is applicable to real systems that are complex, e.g., from a task dependencies perspective.

Place, publisher, year, edition, pages
2012. p. 351-362
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-23843DOI: 10.1109/RTSS.2012.85ISI: 000317284200032Scopus ID: 2-s2.0-84874326391ISBN: 9780769548692 (print)OAI: oai:DiVA.org:mdh-23843DiVA, id: diva2:682489
Conference
2012 IEEE 33rd Real-Time Systems Symposium, RTSS 2012; San Juan; Puerto Rico; 5 December 2012 through 7 December 2012
Available from: 2013-12-27 Created: 2013-12-19 Last updated: 2014-02-07Bibliographically approved

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Lu, YueNolte, ThomasBate, Iain

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