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Integrating job parallelism in real-time scheduling theory

Sébastien Collette 1 Liliana Cucu 2, * Joël Goossens 1
* Corresponding author
2 TRIO - Real time and interoperability
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
Abstract : We investigate the global scheduling of sporadic, implicit deadline, real-time task systems on multiprocessor platforms. We provide a task model which integrates job parallelism. We prove that the time-complexity of the feasibility problem of these systems is linear relatively to the number of (sporadic) tasks for a fixed number of processors. We propose a scheduling algorithm theoretically optimal (i.e., preemptions and migrations neglected). Moreover, we provide an exact feasibility utilization bound. Lastly, we propose a technique to limit the number of migrations and preemptions.
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https://hal.inria.fr/inria-00192215
Contributor : Liliana Cucu-Grosjean Connect in order to contact the contributor
Submitted on : Monday, October 27, 2008 - 12:10:53 PM
Last modification on : Friday, February 4, 2022 - 3:24:50 AM
Long-term archiving on: : Monday, April 12, 2010 - 5:14:42 AM

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Sébastien Collette, Liliana Cucu, Joël Goossens. Integrating job parallelism in real-time scheduling theory. Information Processing Letters, Elsevier, 2008, 106 (5), pp.180-187. ⟨10.1016/j.ipl.2007.11.014⟩. ⟨inria-00192215⟩

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