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Fluid Flow Model for Energy-Aware Server Performance Evaluation

Author

Listed:
  • Eleonora Deiana

    (Université de Namur)

  • Guy Latouche

    (Université libre de Bruxelles)

  • Marie-Ange Remiche

    (Université de Namur)

Abstract

We use a fluid flow model with reactive bounds to analyze a data processing center with energy-aware servers. The servers switch between four energy states depending on the level of the buffer content and on three reactive bounds. We use a regenerative approach to calculate the stationary distribution of the system and the expected energy consumption.

Suggested Citation

  • Eleonora Deiana & Guy Latouche & Marie-Ange Remiche, 2021. "Fluid Flow Model for Energy-Aware Server Performance Evaluation," Methodology and Computing in Applied Probability, Springer, vol. 23(3), pages 801-821, September.
    • Handle: RePEc:spr:metcap:v:23:y:2021:i:3:d:10.1007_s11009-020-09784-z
    DOI: 10.1007/s11009-020-09784-z
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    References listed on IDEAS

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    1. Samuelson, Aviva & Haigh, Andrew & O'Reilly, Małgorzata M. & Bean, Nigel G., 2017. "Stochastic model for maintenance in continuously deteriorating systems," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1169-1179.
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    Cited by:

    1. Hédi Nabli, 2022. "Moments Computation for General Markov Fluid Models," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 2055-2070, September.
    2. Hédi Nabli & Itidel Abdallah, 2023. "Stochastic Fluid Models with Upward Jumps and Phase Transitions," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-26, March.

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