Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling

Research output: Contribution to conferencePaper




Conference25th International Conference on Real-Time Networks and Systems (RTNS 2017)
Conference date(s)4/10/176/10/17

Publication details

DatePublished - 4 Oct 2017
Number of pages10
Original languageEnglish


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 existing 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. Besides improvements in schedulability, we also demonstrate significant gains in terms of the budgets that can be allocated to LO-criticality tasks.


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