A tool based on traffic traces and stochastic monotonicity to analyze data centers and their energy consumption

Bayati, Marziyeh and Dahmoune, Mohammed and Fourneau, Jean-Michel and Pekergin, Nihal and Vekris, Dimitrios (2016) A tool based on traffic traces and stochastic monotonicity to analyze data centers and their energy consumption. EAI Endorsed Transactions on Energy Web, 3 (10). e3. ISSN 2032-944X

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Abstract

We present a tool to study the trade-off between energy consumption and performance evaluation. The tool uses real traffic traces to model arrivals, and it allows to consider general discrete arrival processes. Some servers are switched on (resp. off) if the monitored QoS becomes less (resp. more) than the {\it up} (resp. {\it down}) threshold. A set of threshold couples and the cost function taking into account both the performance measure and the energy consumption are provided by the user. The tool determines the best one for this cost function among the analyzed scenarios. Our method is numerically based but it takes into account some stochastic properties of the model to speed up the computation.

Item Type: Article
Uncontrolled Keywords: queues, energy saving, discrete stochastic process, numerical analysis, data center
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 07 Apr 2021 07:21
Last Modified: 07 Apr 2021 07:21
URI: https://eprints.eudl.eu/id/eprint/2232

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