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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.
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https://hal.inria.fr/inria-00541375
Contributor : Maha Idrissi Aouad <>
Submitted on : Tuesday, November 30, 2010 - 2:10:38 PM
Last modification on : Monday, January 6, 2020 - 10:42:03 PM

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  • 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. ⟨inria-00541375⟩

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