Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems

Abstract : In this paper, we propose new hybrid heuristics for memory management which outperform the best known existing heuristic (BEH). In fact, nearly from 76% up to 98% less energy consumption is recorded. Contrary to BEH, our hybrid heuristics do not require list sorting.
Type de document :
Communication dans un congrès
ISCIS 2010 - 25th International Symposium on Computer and Information Sciences, Sep 2010, Londres, United Kingdom. Springer, 62, pp.409 - 414, 2010
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https://hal.inria.fr/inria-00524320
Contributeur : Maha Idrissi Aouad <>
Soumis le : jeudi 7 octobre 2010 - 15:36:26
Dernière modification le : jeudi 11 janvier 2018 - 06:25:24

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  • HAL Id : inria-00524320, version 1

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Maha Idrissi Aouad, René Schott, Olivier Zendra. Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems. ISCIS 2010 - 25th International Symposium on Computer and Information Sciences, Sep 2010, Londres, United Kingdom. Springer, 62, pp.409 - 414, 2010. 〈inria-00524320〉

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