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Conference Papers Year : 2013

Probabilistic real-time scheduling

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Abstract

Proposed originally as stochastic scheduling, the probabilistic real-time scheduling concerns real-time systems with at least one parameter described by a random variable. Any parameter of the task may have such description, but the existing work concentrates on the probabilistic worst-case execution times. This lecture will provide the main results for such systems in the case of one processor and a list of the open problems. The second part of the lecture deals with real-time systems that have stochastic description of the parameters. All the probabilistic operations are based on convolutions and the complexity of these operations may be a problem for realistic implementations. Sampling techniques providing decreased complexity are presented. The lecture ends with the presentation of the main open directions for probabilistic real-time systems and their impact on real-time systems in general.
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Dates and versions

hal-00920517 , version 1 (18-12-2013)

Identifiers

  • HAL Id : hal-00920517 , version 1

Cite

Liliana Cucu-Grosjean. Probabilistic real-time scheduling. ETR 2013 - Ecole d'été temps réel, Aug 2013, Toulouse, France. ⟨hal-00920517⟩
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