Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters

Dorin Maxim 1 Liliana Cucu-Grosjean 1, 2
1 TRIO - Real time and interoperability
LORIA - NSS - Department of Networks, Systems and Services, Inria Nancy - Grand Est
2 AOSTE - Models and methods of analysis and optimization for systems with real-time and embedding constraints
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt, Laboratoire I3S - COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
Abstract : In this paper, we consider a probabilistic model for real-time task systems with probabilistic worst-case execution times, probabilistic minimum inter-arrival times and probabilistic deadlines. We propose an analysis computing response time distributions of the tasks scheduled on one processor under a task-level fixed-priority preemptive scheduling policy. The complexity of our method is analyzed and it is improved by re-sampling techniques on worst-case execution time distributions and/or minimal inter-arrival time distributions. The improvements are shown through experimental results. Also, experiments are conducted in order to investigate the improvement obtained by using a probabilistic model in terms of precision and schedulability gained as opposed to a deterministic worst-case reasoning.
Document type :
Conference papers
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https://hal.inria.fr/hal-00918566
Contributor : Liliana Cucu-Grosjean <>
Submitted on : Friday, December 13, 2013 - 4:45:12 PM
Last modification on : Tuesday, December 18, 2018 - 4:42:03 PM

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  • HAL Id : hal-00918566, version 1

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Dorin Maxim, Liliana Cucu-Grosjean. Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters. RTSS 2013 - IEEE Real-Time Systems Symposium, Dec 2013, Vancouver, Canada. ⟨hal-00918566⟩

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