Eco-efficient resource management in HPC clusters through computer intelligence techniques

dc.contributor.author	Cocaña Fernández, Alberto
dc.contributor.author	San José Guiote, Emilio
dc.contributor.author	Sánchez Ramos, Luciano
dc.contributor.author	Ranilla Pastor, José
dc.date.accessioned	2019-11-14T10:21:50Z
dc.date.available	2019-11-14T10:21:50Z
dc.date.issued	2019
dc.identifier.citation	Energies, 12(11), p. 2129- (2019); doi:10.3390/en12112129
dc.identifier.issn	1996-1073
dc.identifier.uri	http://hdl.handle.net/10651/53077
dc.description.sponsorship	This research was funded by the Ministry of Economy, Industry and Competitiveness from Spain/FEDER under grants TIN2017-84804-R and RTI2018-098085-B-C44, and by the Regional Ministry of the Principality of Asturias under grant FC-GRUPIN-IDI/2018/000226.
dc.format.extent	p. 2129-
dc.language.iso	eng
dc.relation.ispartof	Energies
dc.rights	© 2019 by the authors
dc.rights	CC Reconocimiento 4.0 Internacional
dc.rights.uri	http://creativecommons.org/licenses/by/4.0/
dc.source	Scopus
dc.source.uri	https://www2.scopus.com/inward/record.uri?eid=2-s2.0-85066961676&doi=10.3390%2fen12112129&partnerID=40&md5=75bb0eaa0fc3dbfb7240e9cea519d42a
dc.title	Eco-efficient resource management in HPC clusters through computer intelligence techniques
dc.type	journal article
dc.identifier.doi	10.3390/en12112129
dc.relation.projectID	FC-GRUPIN-IDI/2018/000226.
dc.relation.projectID	MINECO/FEDER/RTI2018-098085-B-C44
dc.relation.projectID	MINECO/FEDER/TIN2017-84804-R
dc.relation.publisherversion	http://dx.doi.org/10.3390/en12112129
dc.rights.accessRights	open access
dc.type.hasVersion	VoR

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