Economics at your fingertips  

Productive Efficiency of Energy-Aware Data Centers

Damián Fernández-Cerero (), Alejandro Fernández-Montes () and Francisco Velasco ()
Additional contact information
Damián Fernández-Cerero: Department of Computer Languages and Systems, University of Seville, 41012 Sevilla, Spain
Alejandro Fernández-Montes: Department of Computer Languages and Systems, University of Seville, 41012 Sevilla, Spain
Francisco Velasco: Department of Applied Economy I, University of Seville, 41018 Sevilla, Spain

Energies, 2018, vol. 11, issue 8, 1-17

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.

Keywords: data envelopment analysis; return-to-scale; cloud computing; efficiency; energy policies (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2018
References: View references in EconPapers View complete reference list from CitEc
Citations Track citations by RSS feed

Downloads: (external link) (application/pdf) (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link:

Access Statistics for this article

Energies is currently edited by Prof. Dr. Enrico Sciubba

More articles in Energies from MDPI, Open Access Journal
Bibliographic data for series maintained by XML Conversion Team ().

Page updated 2018-10-02
Handle: RePEc:gam:jeners:v:11:y:2018:i:8:p:2053-:d:162499