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On Sustainability for Offset Based Response-Time Analysis
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2957-0966
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-0757-822X
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0001-7586-0409
2021 (English)In: ACM International Conference Proceeding Series, Association for Computing Machinery , 2021Conference paper, Published paper (Refereed)
Abstract [en]

It is known that offsets in general are not sustainable, i.e., if offsets in a system are modified it is not trivial to determine if this affects schedulability or not. In this paper we investigate if there are situations where offsets can be deemed sustainable, i.e., situations where one can safely modify an offset without impairing schedulability. We introduce, for the approximate Response-Time Analysis, a concept of a subsumes relation between demand bound functions and show that if offsets are modified in such a way that the modified demand bound function is subsumed by the original demand bound function, then the modification is sustainable. We show an example of how this information can be used in an engineering context where all system parameters are fixed but offsets. We generate all transaction that are subsumed by a schedulable transaction and merge this information in a presentable form for the engineer. This information can be used to safely modify the transaction or to investigate the robustness of the schedulability.

Place, publisher, year, edition, pages
Association for Computing Machinery , 2021.
Keywords [en]
real-time, response-time analysis, scheduling sustainability, Information use, Bound function, Schedulability, Response time (computer systems)
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:mdh:diva-58796DOI: 10.1145/3459960.3459969Scopus ID: 2-s2.0-85107215343ISBN: 9781450390576 (print)OAI: oai:DiVA.org:mdh-58796DiVA, id: diva2:1683018
Conference
7th Conference on the Engineering of Computer Based Systems, ECBS 2021, 26 May 2021 through 27 May 2021
Note

Conference code: 169185; Export Date: 8 June 2022; Conference Paper; Funding details: Vetenskapsrådet, VR; Funding text 1: This work was supported by the Swedish Research Council through the FAST-ARTS project.

Available from: 2022-07-13 Created: 2022-07-13 Last updated: 2022-07-13Bibliographically approved

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Mäki-Turja, JukkaHänninen, KajSjödin, Mikael

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