Estimation of probabilistic worst case execution time while accounting OS costs

Talaboulma Walid 1 Cristian Maxim 2, 1 Adriana Geanina Gogonel 1 Yves Sorel 1 Liliana Cucu-Grosjean 1
1 AOSTE - Models and methods of analysis and optimization for systems with real-time and embedding constraints
CRISAM - Inria Sophia Antipolis - Méditerranée , Inria Paris-Rocquencourt, COMRED - COMmunications, Réseaux, systèmes Embarqués et Distribués
Type de document :
Poster
Work in Progress of the 21st IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS2015), Apr 2015, Seattle, France
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https://hal.inria.fr/hal-01245359
Contributeur : Liliana Cucu <>
Soumis le : jeudi 17 décembre 2015 - 09:55:43
Dernière modification le : vendredi 18 décembre 2015 - 01:12:52

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  • HAL Id : hal-01245359, version 1

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Talaboulma Walid, Cristian Maxim, Adriana Geanina Gogonel, Yves Sorel, Liliana Cucu-Grosjean. Estimation of probabilistic worst case execution time while accounting OS costs. Work in Progress of the 21st IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS2015), Apr 2015, Seattle, France. <hal-01245359>

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