Semi-Clairvoyance in Mixed-Criticality Scheduling

Kunal Agrawa, Sanjoy Baruah, Alan Burns

Research output: Chapter in Book/Report/Conference proceedingConference contribution


In the Vestal model of mixed-criticality systems, jobs are characterized by multiple different estimates of their actual, but unknown, worst-case execution time (WCET) parameters. Prior work on mixed-criticality scheduling theory assumes that the execution duration of a job is only revealed by actually executing the job through to completion. We consider a different *semi-clairvoyant* model here, in which it is assumed that upon arrival a job reveals which of its WCET parameters it will respect. We identify circumstances under which this is a reasonable model, and design and evaluate scheduling algorithms appropriate for this model. We show that such semi-clairvoyance yields a significant quantifiable benefit over non-clairvoyance, in terms of both the complexity of schedulability analysis and the speedup needed to ensure schedulability.
Original languageEnglish
Title of host publication2019 IEEE Real-Time Systems Symposium (RTSS)
Number of pages11
ISBN (Electronic)978-1-7281-6463-2
Publication statusPublished - 2 Apr 2020
Event40th IEEE Real-Time Systems Symposium (RTSS 2019) -
Duration: 1 Dec 2019 → …

Publication series

NameIEEE Real-Time Systems Symposium (RTSS)
ISSN (Electronic)2576-3172


Conference40th IEEE Real-Time Systems Symposium (RTSS 2019)
Period1/12/19 → …

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