VM reassignment in hybrid clouds for large decentralised companies: A multi-objective challenge

DC FieldValueLanguage
dc.contributor.authorSaber, Takfarinas
dc.contributor.authorThorburn, James
dc.contributor.authorMurphy, Liam, B.E.
dc.contributor.authorVentresque, Anthony
dc.date.accessioned2017-11-13T17:00:16Z
dc.date.copyright2017 Elsevieren
dc.date.issued2017
dc.identifier.citationFuture Generation Computer Systemsen
dc.identifier.urihttp://hdl.handle.net/10197/9041
dc.description.abstractOptimising the data centres of large IT organisations is complex as (i) they are composed of various hosting departments with their own preferences and (ii) reassignment solutions can be evaluated from various independent dimensions. But in reality, the problem is even more challenging as companies can now choose from a pool of cloud services to host some of their workloads. This hybrid search space seems intractable, as each workload placement decision (seen as running in a virtual machine on a server) is required to answer many questions: can we host it internally? In which hosting department? Are the capital allocators of this hosting department ok with this placement? How much does it save us and is it safe? Is there a better option in the Cloud? Etc. In this paper, we define the multi-objective VM reassignment problem for hybrid and decentralised data centres. We also propose H2¿D2, a solution that uses a multi-layer architecture and a metaheuristic algorithm to suggest reassignment solutions that are evaluated by the various hosting departments (according to their preferences). We compare H2¿D2 against state-of-the-art multi-objective algorithms and find that H2¿D2 outperforms them both in terms of quantity (approx 30% more than the second-best algorithm on average) and quality of solutions (19% better than the second-best on average).en
dc.description.sponsorshipScience Foundation Irelanden
dc.language.isoenen
dc.publisherElsevieren
dc.rightsThis is the author’s version of a work that was accepted for publication in Future Generation Computer Systems. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Future Generation Computer Systems, 2017-06. DOI: 10.1016/j.future.2017.06.015en
dc.subjectLarge decentralised data centresen
dc.subjectHybrid cloudsen
dc.subjectVM reassignmenten
dc.subjectMulti-objective optimisationen
dc.subjectHybrid algorithmsen
dc.subjectInterval objectiveen
dc.titleVM reassignment in hybrid clouds for large decentralised companies: A multi-objective challengeen
dc.typeJournal Articleen
dc.internal.authorcontactotheranthony.ventresque@ucd.ie
dc.statusPeer revieweden
dc.identifier.volume79
dc.identifier.issuePart 2
dc.identifier.startpage751
dc.identifier.endpage764
dc.identifier.doi10.1016/j.future.2017.06.015-
dc.neeo.contributorSaber|Takfarinas|aut|-
dc.neeo.contributorThorburn|James|aut|-
dc.neeo.contributorMurphy|Liam, B.E.|aut|-
dc.neeo.contributorVentresque|Anthony|aut|-
dc.date.embargo2019-07-29
dc.description.othersponsorshipLeroen
dc.internal.rmsid804322204
dc.date.updated2017-09-12T10:58:10Z
dc.rights.licensehttps://creativecommons.org/licenses/by-nc-nd/3.0/ie/en
item.fulltextWith Fulltext-
item.grantfulltextopen-
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