Davis, Robert Ian orcid.org/0000-0002-5772-0928, Griffin, David Jack orcid.org/0000-0002-4077-0005 and Bate, Iain John orcid.org/0000-0003-2415-8219 (Accepted: 2021) Schedulability Analysis for Multi-core Systems Accounting for Resource Stress and Sensitivity. In: 33rd Euromicro Conference on Real-Time Systems 2021 (proceedings). 33rd Euromicro Conference on Real-Time Systems 2021, 05-09 Jul 2021 ACM , 7:1-7:26. (In Press)
Abstract
Timing verification of multi-core systems is complicated by contention for shared hardware resources between co-running tasks on different cores. This paper introduces the Multi-core Resource Stress and Sensitivity (MRSS) task model that characterizes how much stress each task places on resources and how much it is sensitive to such resource stress. This model facilitates a separation of concerns, thus retaining the advantages of the traditional two-step approach to timing verification (i.e. timing analysis followed by schedulability analysis). Response time analysis is derived for the MRSS task model, providing efficient context-dependent and context independent schedulability tests for both fixed priority preemptive and fixed priority non-preemptive scheduling. Dominance relations are derived between the tests, and proofs of optimal priority assignment provided. The MRSS task model is underpinned by a proof-of-concept industrial case study.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Robert I. Davis, David Griffin, and Iain Bate. |
Keywords: | real-time,multi-core,scheduling,schedulability analysis,cross-core contention,resource stress,resource sensitivity |
Dates: |
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Institution: | The University of York |
Academic Units: | The University of York > Faculty of Sciences (York) > Computer Science (York) |
Funding Information: | Funder Grant number INNOVATE UK 113213/SUP-00007484 EPSRC EP/N023641/1 EPSRC EP/V006029/1 |
Depositing User: | Pure (York) |
Date Deposited: | 19 May 2021 13:00 |
Last Modified: | 07 Mar 2025 00:02 |
Status: | In Press |
Publisher: | ACM |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:174312 |
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