Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling
Dorin Maxim, Robert I. Davis, Liliana Cucu-Grosjean and Arvind Easwaran
Âis paper introduces probabilistic analysis for Âxed 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 signiÂcant gains in terms of the budgets that can be allocated to LO-criticality tasks.
BibTex Entry
@inproceedings{Maxim2017,
author = {Dorin Maxim and Robert I. Davis and Liliana Cucu-Grosjean and Arvind Easwaran},
booktitle = {25th International Conference on Real-Time Networks and Systems (RTNS 2017)},
month = {Oct},
title = {Probabilistic Analysis for Mixed Criticality Systems using Fixed Priority Preemptive Scheduling},
year = {2017}
}