Davis, Robert Ian orcid.org/0000-0002-5772-0928 and Cucu-Grosjean, Liliana (2019) A Survey of Probabilistic Schedulability Analysis Techniques for Real-Time Systems. LITES: Leibniz Transactions on Embedded Systems. ISSN 2199-2002
Abstract
This survey covers schedulability analysis techniques for probabilistic real-time systems. It reviews the key results in the field from its origins in the late 1980s to the latest research published up to the end of August 2018. The survey outlines fundamental concepts and highlights key issues. It provides a taxonomy of the different methods used, and a classification of existing research. A detailed review is provided covering the main subject areas as well as research on supporting techniques. The survey concludes by identifying open issues, key challenges and possible directions for future research.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © Robert I. Davis and Liliana Cucu-Grosjean. |
Keywords: | Probabilistic,scheduling,Real-time,schedulability analysis |
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: | 16 May 2019 08:30 |
Last Modified: | 21 Jan 2025 17:39 |
Published Version: | https://doi.org/10.4230/LITES-v006-i001-a004 |
Status: | Published |
Refereed: | Yes |
Identification Number: | 10.4230/LITES-v006-i001-a004 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:146181 |