Fluid flow model for energy-aware server performance evaluation

Eleonora Deiana; Guy Latouche; Marie Ange Remiche

doi:10.1145/3199524.3199560

Fluid flow model for energy-aware server performance evaluation

Eleonora Deiana, Guy Latouche, Marie Ange Remiche

Research output: Contribution to journal › Article

Abstract

We use a fluid flow model with reactive bounds to analyse 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. Every state consumes different amounts of energy. We use a regenerative approach to calculate the stationary distribution of the system and the expected energy consumption.

Original language	English
Pages (from-to)	204-209
Number of pages	6
Journal	Performance Evaluation Review
Volume	45
Issue number	3
DOIs	https://doi.org/10.1145/3199524.3199560
Publication status	Published - 20 Mar 2018
Event	35th IFIP International Symposium on Computer Performance, Modeling, Measurements and Evaluation, IFIP WG 7.3 Performance 2017 - New York, United States Duration: 13 Nov 2017 → 17 Nov 2017

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10.1145/3199524.3199560

Cite this

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title = "Fluid flow model for energy-aware server performance evaluation",

abstract = "We use a fluid flow model with reactive bounds to analyse 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. Every state consumes different amounts of energy. We use a regenerative approach to calculate the stationary distribution of the system and the expected energy consumption.",

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AB - We use a fluid flow model with reactive bounds to analyse 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. Every state consumes different amounts of energy. We use a regenerative approach to calculate the stationary distribution of the system and the expected energy consumption.

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ER -

Fluid flow model for energy-aware server performance evaluation

Abstract

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