Sequential and Distributed SA-Type Algorithms for Energy Optimization in Embedded Systems

Abstract : Reducing energy consumption in embedded systems is a major crucial issue. In this paper, we propose new sequential and distributed algorithms based on Simulated Annealing (SA) in order to reduce energy consumption in embedded systems. Our algorithms outperform the Tabu Search (TS) approach. In fact, our algorithms manage to consume nearly from 76% up to 98% less memory energy than TS.
Type de document :
Communication dans un congrès
IEEE-CiSE 2010 (International Conference on Computational Intelligence and Software Engineering), Dec 2010, Wuhan, China. 1, 2010, Artificial Intelligence
Liste complète des métadonnées

https://hal.inria.fr/inria-00541375
Contributeur : Maha Idrissi Aouad <>
Soumis le : mardi 30 novembre 2010 - 14:10:38
Dernière modification le : mardi 16 octobre 2018 - 14:26:02

Identifiants

  • HAL Id : inria-00541375, version 1

Citation

Maha Idrissi Aouad, Lhassane Idoumghar, René Schott, Olivier Zendra. Sequential and Distributed SA-Type Algorithms for Energy Optimization in Embedded Systems. IEEE-CiSE 2010 (International Conference on Computational Intelligence and Software Engineering), Dec 2010, Wuhan, China. 1, 2010, Artificial Intelligence. 〈inria-00541375〉

Partager

Métriques

Consultations de la notice

478