Response Time Analysis for Fixed-Priority Tasks with Multiple Probabilistic Parameters - Archive ouverte HAL Access content directly
Conference Papers Year : 2013

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

(1) , (1, 2)
1
2

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.
Not file

Dates and versions

hal-00918566 , version 1 (13-12-2013)

Identifiers

  • HAL Id : hal-00918566 , version 1

Cite

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⟩
194 View
0 Download

Share

Gmail Facebook Twitter LinkedIn More