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dc.contributor.authorStafford Fernández, Esteban 
dc.contributor.authorBosque Orero, José Luis 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2021-01-28T14:09:25Z
dc.date.available2021-12-01T03:45:11Z
dc.date.issued2020-11
dc.identifier.issn0920-8542
dc.identifier.issn1573-0484
dc.identifier.otherTIN2016-76635-C2-2-Res_ES
dc.identifier.otherTIN2016-81840-REDTes_ES
dc.identifier.urihttp://hdl.handle.net/10902/20600
dc.description.abstractDatacenters often agglutinate sets of nodes with different capabilities, leading to a sub-optimal resource utilization. One of the best ways of improving utilization is to balance the load by taking into account the heterogeneity of these clusters. This article presents a novel way of expressing computational capacity, more adequate for heterogeneous clusters, and also advocates for task migration in order to further improve the utilization. The experimental evaluation shows that both proposals are advantageous and allow improving the utilization of heterogeneous clusters and reducing the makespan to 16.7% and 17.1%, respectively.es_ES
dc.description.sponsorshipThis work has been supported by the Spanish Science and Technology Commission under contracts TIN2016-76635-C2-2-R and TIN2016-81840-REDT (CAPAP-H6 network) and the European HiPEAC Network of Excellencees_ES
dc.format.extent14 p.es_ES
dc.language.isoenges_ES
dc.publisherKluwer Academic Publisherses_ES
dc.rights© Springeres_ES
dc.sourceJ Supercomput 76, 8787-8800 (2020)es_ES
dc.subject.otherHeterogeneous clusterses_ES
dc.subject.otherUtilizationes_ES
dc.subject.otherLoad indexes_ES
dc.subject.otherTask migrationes_ES
dc.titleImproving utilization of heterogeneous clusterses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherVersionhttps://doi.org/10.1007/s11227-020-03175-4es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1007/s11227-020-03175-4
dc.type.versionacceptedVersiones_ES


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