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Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems

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Computer and Information Sciences

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 62))

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.

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References

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Author information

Authors and Affiliations

  1. INRIA Nancy - Grand Est / LORIA, 615, Rue du Jardin Botanique, 54600, Villers-Lès-Nancy, France

    Maha Idrissi Aouad & Olivier Zendra

  2. IECN - LORIA, Nancy-Université, Université Henri Poincaré, 54506, Vandoeuvre-Lès-Nancy, France

    René Schott

Authors
  1. Maha Idrissi Aouad
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  2. René Schott
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  3. Olivier Zendra
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Corresponding author

Correspondence to Maha Idrissi Aouad .

Editor information

Editors and Affiliations

  1. , EEE Dept., Imperial College, Exhibition Road, London, SW72BT, United Kingdom

    Erol Gelenbe

  2. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Ricardo Lent

  3. , EEE Dept., Imperial College, Exhibition Rd., London, SW72AZ, United Kingdom

    Georgia Sakellari

  4. , School of Biomedical Eng., Sci. and Heal, Drexel University, Bossone 702, 3120 Market Street, Philadelphia, 19104, Pennsylvania, USA

    Ahmet Sacan

  5. , Dept. of Computer Engineering, Middle East Technical University, Ankara, 06531, Turkey

    Hakki Toroslu

  6. Fac. Engineering, Dept. Computer Engineering, Middle East Technical University - METU, Ankara, 06531, Turkey

    Adnan Yazici

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© 2011 Springer Science+Business Media B.V.

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Aouad, M.I., Schott, R., Zendra, O. (2011). Hybrid Heuristics for Optimizing Energy Consumption in Embedded Systems. In: Gelenbe, E., Lent, R., Sakellari, G., Sacan, A., Toroslu, H., Yazici, A. (eds) Computer and Information Sciences. Lecture Notes in Electrical Engineering, vol 62. Springer, Dordrecht. https://doi.org/10.1007/978-90-481-9794-1_76

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  • DOI: https://doi.org/10.1007/978-90-481-9794-1_76

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-9793-4

  • Online ISBN: 978-90-481-9794-1

  • eBook Packages: EngineeringEngineering (R0)

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