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EcoVMBroker: energy-aware scheduling for multi-layer datacenters

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dc.contributor.authorFernandes, Rodrigo
dc.contributor.authorSimão, José
dc.contributor.authorVeiga, Luís
dc.date.accessioned2019-01-24T14:22:53Z
dc.date.available2019-01-24T14:22:53Z
dc.date.issued2018
dc.description.abstractThe cloud relies on efficient algorithms to find resources for jobs by fulfilling the job's requirements and at the same time optimise an objective function. Utility is a measure of the client satisfaction that can be seen as an objective function maximised by schedulers based on the agreed service level agreement (SLA). We propose EcoVMBroker which can reduce energy consumption by using dynamic voltage frequency scaling (DVFS) and applying reductions of utility, different for classes of users and across ranges of resource allocations. Using efficient data structures and a hierarchical architecture, we created a scalable solution for the fast growing heterogeneous cloud. EcoVMBroker proved that we can delegate work in a hierarchical datacenter, make decisions based on summaries of resource usage collected from several nodes and still be efficient.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationFERNANDES, Rodrigo; SIMÃO, José; VEIGA, Luís – EcoVMBroker: energy-aware scheduling for multi-layer datacenters. In 33rd Annual ACM Symposium on Applied Computing (ACM SAC). Pau, France: ACM DL, 2018. ISBN 978-1-4503-5191-1. Pp. 403-410pt_PT
dc.identifier.doi10.1145/3167132.3167178pt_PT
dc.identifier.isbn978-1-4503-5191-1
dc.identifier.urihttp://hdl.handle.net/10400.21/9361
dc.language.isoengpt_PT
dc.publisherAssociation for Computing Machinerypt_PT
dc.relationPTDC/EEI-SCR/6945/2014 - FCTpt_PT
dc.relationPOCI-01-0145-FEDER-016883 - ERDF through COMPETE 2020 Programmept_PT
dc.relation.publisherversionhttp://delivery.acm.org/10.1145/3170000/3167178/p403-fernandes.pdf?ip=194.210.195.140&id=3167178&acc=ACTIVE%20SERVICE&key=2E5699D25B4FE09E%2E7B9783D512D69300%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1548337120_c6562d7bfb9b291991854d5ccd7b1c0ept_PT
dc.subjectVirtual Machice schedulingpt_PT
dc.subjectEnergy efficiencypt_PT
dc.subjectDVFSpt_PT
dc.subjectPartial utilitypt_PT
dc.titleEcoVMBroker: energy-aware scheduling for multi-layer datacenterspt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F50021%2F2013/PT
oaire.citation.conferencePlaceAPR 09-13, 2018 - Pau, Francept_PT
oaire.citation.endPage410pt_PT
oaire.citation.startPage403pt_PT
oaire.citation.title33rd Annual ACM Symposium on Applied Computing (ACM SAC)pt_PT
oaire.fundingStream5876
person.familyNameSimão
person.familyNameVeiga
person.givenNameJosé
person.givenNameLuís
person.identifier1099536
person.identifier.ciencia-id5413-C0FA-7557
person.identifier.ciencia-idF119-0817-F58E
person.identifier.orcid0000-0002-6564-593X
person.identifier.orcid0000-0002-9285-0736
person.identifier.ridL-4615-2013
person.identifier.scopus-author-id57189313027
person.identifier.scopus-author-id6701821307
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication625152de-db55-4942-8506-f461f4bd947d
relation.isAuthorOfPublicationb620f1c1-7e39-40a2-917e-57834bc73e89
relation.isAuthorOfPublication.latestForDiscovery625152de-db55-4942-8506-f461f4bd947d
relation.isProjectOfPublication9964a800-3334-42d6-aab0-1f8870cbe7b1
relation.isProjectOfPublication.latestForDiscovery9964a800-3334-42d6-aab0-1f8870cbe7b1

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