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Achieving Industrial Strength Timing Predictions of Embedded System Behavior
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-7586-0409
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0003-2957-0966
2008 (English)In: Proceedings of the 2008 International Conference on Embedded Systems and Applications, ESA 2008, 2008, p. 173-178Conference paper, Published paper (Refereed)
Abstract [en]

This paper discusses why the extensive scientific results on predicting embedded systems temporal behavior never, or very seldom, reaches the industrialcommunity. We also point out the main issues that the scientific community should focus on in order to facilitate industrial-strength timing predictions. The core problem is that the scientific community uses too simplistic or research oriented timing models. The models stemming from academy do not fit well with the structure of real systems. Thus, extracting a timing model that is amenable for analysis may prove prohibitively difficult. And even if a model can be extracted, it may not capture real system scenarios well. Thus, results from analyzing these models do not reflect real system behavior, leading to unnecessary pessimistic timingpredictions. In recent years, response-time analysis has matured to a degree where models can express complex system behaviors and analysis results are relatively tight with respect to real system behavior. However, in order to fully reach its potential, and be accepted by industry, several improvements of the technique are needed. First, behaviors that are commonly used in industrial systems (such as message passing and client/server-patterns) must be adequately captured by the timing models. Second, unnecessary pessimism in the analysis must be removed (i.e. the analysis results must correlate well with actual system behavior by providing minimal overestimation). Third, correlated behaviors of different parts of the systems must be accounted for (i.e. not all tasks will experience the worst case execution times at the same time).

Place, publisher, year, edition, pages
2008. p. 173-178
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-7197Scopus ID: 2-s2.0-62649091723ISBN: 9781601320650 (print)OAI: oai:DiVA.org:mdh-7197DiVA, id: diva2:237207
Conference
2008 International Conference on Embedded Systems and Applications, ESA 2008; Las Vegas, NV; United States; 14 July 2008 through 17 July 2008
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2013-12-03Bibliographically approved

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Sjödin, MikaelMäki-Turja, Jukka

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