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Oversubscribing micro-clouds with energy-aware containers scheduling

dc.contributor.authorMendes, Sérgio
dc.contributor.authorSimão, José
dc.contributor.authorVeiga, Luís
dc.date.accessioned2019-05-09T08:28:06Z
dc.date.available2019-05-09T08:28:06Z
dc.date.issued2019
dc.description.abstractCloud computation is being pushed to the edge of the network, towards Micro-clouds, to promote more energy efficiency and less latency when compared to heavy resourced centralized datacenters. This trend will enable new markets and providers to fill the current gap. There are however challenges in this design: (i) devices have less resources, leading to a frequent use of oversubscription (ii) lack of economic incentives to both provider and application owner to cope with less than full requests fulfilled. To support this trend, the virtualization layer of Micro-clouds is currently dominated by containers, which have a small memory footprint and strong isolation properties. We propose an extension to Docker Swarm, a widely used containers orchestrator, with an oversubscribing scheduling algorithm, based on improving resources utilization to levels where the energy efficiency is maximized. This solution improves CPU and memory utilization over Spread and Binpack (Docker Swarm strategies). Althoughwe introduce a small overhead in scheduling times, our solution manages to allocate more requests, with a successful allocation rate of 83% against 57% of current solutions, measured on the scheduling of real CPU- and memoryintensive workloads (e.g. Video encoding, Key-value storages and a Deep-learning algorithm).pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationMENDES, Sérgio; SIMÃO, José; VEIGA, Luís – Oversubscribing micro-clouds with energy-aware containers scheduling. In SAC`19 – Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing. Limassol, Cyprus: ACM, 2019. ISBN 978-1-4503-5933-7. Pp. 130-137pt_PT
dc.identifier.doi10.1145/3297280.3297295pt_PT
dc.identifier.isbn978-1-4503-5933-7
dc.identifier.urihttp://hdl.handle.net/10400.21/9964
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/10.1145/3300000/3297295/p130-mendes.pdf?ip=194.210.201.153&id=3297295&acc=ACTIVE%20SERVICE&key=2E5699D25B4FE09E%2E7B9783D512D69300%2E4D4702B0C3E38B35%2E4D4702B0C3E38B35&__acm__=1557388864_1ca966bbc3ff91131f4fe1d3ba9a29e1pt_PT
dc.subjectOversubscriptionpt_PT
dc.subjectEnergypt_PT
dc.subjectEfficienctpt_PT
dc.subjectContainers orchestrationpt_PT
dc.titleOversubscribing micro-clouds with energy-aware containers schedulingpt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/5876/UID%2FCEC%2F50021%2F2013/PT
oaire.citation.conferencePlaceApril 08 - 12, 2019 - Limassol, Cypruspt_PT
oaire.citation.endPage137pt_PT
oaire.citation.startPage130pt_PT
oaire.citation.title34th ACM/SIGAPP Symposium on Applied Computingpt_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.rightsopenAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublication625152de-db55-4942-8506-f461f4bd947d
relation.isAuthorOfPublicationb620f1c1-7e39-40a2-917e-57834bc73e89
relation.isAuthorOfPublication.latestForDiscoveryb620f1c1-7e39-40a2-917e-57834bc73e89
relation.isProjectOfPublication9964a800-3334-42d6-aab0-1f8870cbe7b1
relation.isProjectOfPublication.latestForDiscovery9964a800-3334-42d6-aab0-1f8870cbe7b1

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