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Probabilistic Timing Analysis of a Periodic Task on a Microcontroller
Mälardalen University.
Mälardalen University.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-7431-5529
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
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2019 (English)In: The 24th IEEE Conference on Emerging Technologies and Factory Automation ETFA2019, 2019, p. 1419-1422Conference paper, Published paper (Refereed)
Abstract [en]

In this paper we present our ongoing work towards a realistic probabilistic timing analysis of embedded software systems subject to timing requirements. In order to provide such an analysis that captures necessary and important behavioural features of the software system under analysis, including the underlying platform, we have implemented a real-time system running on a Rasberry Pi microcontroller on which we have performed a series of experiments and measurements. The results so far suggest a new model for analysis that captures more detailed behaviour and consequently provides a more accurate and correct probabilistic analysis.

Place, publisher, year, edition, pages
2019. p. 1419-1422
Keywords [en]
probabilistic timing analysis, response time, Markov Chain
National Category
Engineering and Technology Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-46268DOI: 10.1109/ETFA.2019.8869210ISI: 000556596600205Scopus ID: 2-s2.0-85074202970ISBN: 978-1-7281-0303-7 (electronic)OAI: oai:DiVA.org:mdh-46268DiVA, id: diva2:1377784
Conference
The 24th IEEE Conference on Emerging Technologies and Factory Automation ETFA2019, 10 Sep 2019, Zaragoza, Spain
Projects
PARIS - Practical Probabilistic Timing Analysis of Real-Time SystemsAvailable from: 2019-12-12 Created: 2019-12-12 Last updated: 2022-11-08Bibliographically approved

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Papadopoulos, AlessandroNolte, Thomas

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Thörn, JonathanVidimlic, NajdaFriebe, AnnaPapadopoulos, AlessandroNolte, Thomas
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Mälardalen UniversityEmbedded Systems
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Citation style
  • apa
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