dc.creator | Fernández Cerero, Damián | es |
dc.creator | Fernández Montes González, Alejandro | es |
dc.creator | Velasco Morente, Francisco | es |
dc.date.accessioned | 2018-10-04T11:07:26Z | |
dc.date.available | 2018-10-04T11:07:26Z | |
dc.date.issued | 2018-08 | |
dc.identifier.citation | Fernández Cerero, D., Fernández-Montes González, A. y Velasco Morente, F. (2018). Productive Efficiency of Energy-Aware Data Centers. Energies, 11 (8 - 2053), 1-17. | |
dc.identifier.issn | 1996-1073 | es |
dc.identifier.uri | https://hdl.handle.net/11441/79085 | |
dc.description.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. | es |
dc.description.sponsorship | Universidad de Sevilla 2018/00000520 | es |
dc.format | application/pdf | es |
dc.language.iso | eng | es |
dc.publisher | MDPI | es |
dc.relation.ispartof | Energies, 11 (8 - 2053), 1-17. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | data envelopment analysis | es |
dc.subject | return-to-scale | es |
dc.subject | cloud computing | es |
dc.subject | efficiency | es |
dc.subject | energy policies | es |
dc.title | Productive Efficiency of Energy-Aware Data Centers | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Economía Aplicada I | es |
dc.relation.projectID | 2018/00000520 | es |
dc.relation.publisherversion | https://www.mdpi.com/1996-1073/11/8/2053 | es |
dc.identifier.doi | 10.3390/en11082053 | es |
idus.format.extent | 17 | es |
dc.journaltitle | Energies | es |
dc.publication.volumen | 11 | es |
dc.publication.issue | 8 - 2053 | es |
dc.publication.initialPage | 1 | es |
dc.publication.endPage | 17 | es |
dc.contributor.funder | Universidad de Sevilla | |