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Energies 2018, 11(8), 2053;

Productive Efficiency of Energy-Aware Data Centers

Department of Computer Languages and Systems, University of Seville, 41012 Sevilla, Spain
Department of Applied Economy I, University of Seville, 41018 Sevilla, Spain
Author to whom correspondence should be addressed.
Received: 17 July 2018 / Revised: 27 July 2018 / Accepted: 1 August 2018 / Published: 8 August 2018
(This article belongs to the Section Sustainable Energy)
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Information technologies must be made aware of the sustainability of cost reduction. Data centers may reach energy consumption levels comparable to many industrial facilities and small-sized towns. Therefore, innovative and transparent energy policies should be applied to improve energy consumption and deliver the best performance. This paper compares, analyzes and evaluates various energy efficiency policies, which shut down underutilized machines, on an extensive set of data-center environments. Data envelopment analysis (DEA) is then conducted for the detection of the best energy efficiency policy and data-center characterization for each case. This analysis evaluates energy consumption and performance indicators for natural DEA and constant returns to scale (CRS). We identify the best energy policies and scheduling strategies for high and low data-center demands and for medium-sized and large data-centers; moreover, this work enables data-center managers to detect inefficiencies and to implement further corrective actions. View Full-Text
Keywords: data envelopment analysis; return-to-scale; cloud computing; efficiency; energy policies data envelopment analysis; return-to-scale; cloud computing; efficiency; energy policies

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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Fernández-Cerero, D.; Fernández-Montes, A.; Velasco, F. Productive Efficiency of Energy-Aware Data Centers. Energies 2018, 11, 2053.

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