Maxim, Dorin, Davis, Robert Ian orcid.org/0000-0002-5772-0928, Cucu-Grosjean, Liliana et al. (1 more author) (2016) Probabilistic Analysis for Mixed Criticality Scheduling with SMC and AMC. In: Proceedings Workshop on Mixed Criticality systems (WMC) 2016.
Abstract
This paper introduces probabilistic analysis for fixed priority preemptive scheduling of mixed criticality systems on a uniprocessor using the Adaptive Mixed Criticality (AMC) and Static Mixed Criticality (SMC) schemes. We compare this analysis to the equivalent deterministic methods, highlighting the performance gains that can be obtained by utilising more detailed information about worst-case execution time estimates described in terms of probability distributions.
Metadata
Item Type: | Proceedings Paper |
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Authors/Creators: |
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Keywords: | real-time,probabilistic,mixed criticality,AMC,SMC,fixed priority |
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 EPSRC EP/P003664/1 |
Depositing User: | Pure (York) |
Date Deposited: | 11 Jan 2017 09:17 |
Last Modified: | 11 Feb 2025 00:05 |
Status: | Published |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:110229 |