Next Article in Journal
Lifetime Prediction of a Polymer Electrolyte Membrane Fuel Cell under Automotive Load Cycling Using a Physically-Based Catalyst Degradation Model
Previous Article in Journal
A Fractional Order Power System Stabilizer Applied on a Small-Scale Generation System
Article Menu

Export Article

Open AccessArticle
Energies 2018, 11(8), 2053; https://doi.org/10.3390/en11082053

Productive Efficiency of Energy-Aware Data Centers

1
Department of Computer Languages and Systems, University of Seville, 41012 Sevilla, Spain
2
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)
View Full-Text   |   Download PDF [1718 KB, uploaded 8 August 2018]   |  

Abstract

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
Figures

Figure 1

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).

Supplementary material

SciFeed

Share & Cite This Article

MDPI and ACS Style

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

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Energies EISSN 1996-1073 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top