A Survey of Probabilistic Schedulability Analysis Techniques for Real-Time Systems

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.
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https://hal.inria.fr/hal-02158985
Contributor : Liliana Cucu-Grosjean <>
Submitted on : Tuesday, June 18, 2019 - 2:26:23 PM
Last modification on : Thursday, July 4, 2019 - 10:22:55 AM

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Distributed under a Creative Commons Attribution 4.0 International License

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Robert Davis, Liliana Cucu-Grosjean. A Survey of Probabilistic Schedulability Analysis Techniques for Real-Time Systems. Leibniz Transactions on Embedded Systems, European Design and Automation Association (EDAA) \ EMbedded Systems Special Interest Group (EMSIG) and Schloss Dagstuhl -- Leibniz-Zentrum für Informatik GmbH, Dagstuhl Publishing., 2019, 6 (1), pp.53. ⟨10.4230/LITES-v006-i001-a004⟩. ⟨hal-02158985⟩

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