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dc.contributor.authorÖstberg, Per-Olov
dc.contributor.authorByrne, James
dc.contributor.authorCasari, Paolo 
dc.contributor.authorEardley, Philip
dc.contributor.authorFernández Anta, Antonio 
dc.contributor.authorForsman, Johan
dc.contributor.authorKennedy, John
dc.contributor.authorLe Duc, Thang
dc.contributor.authorNoya Mariño, Manuel
dc.contributor.authorRadhika, Loomba
dc.contributor.authorLópez Peña, Miguel Ángel
dc.contributor.authorLópez Veiga, José
dc.contributor.authorLynn, Theo
dc.contributor.authorMancuso, Vincenzo 
dc.contributor.authorSvorobej, Sergej
dc.contributor.authorTorneus, Anders
dc.contributor.authorWesner, Stefan
dc.contributor.authorWillis, Peter
dc.contributor.authorDomaschka, Jörg
dc.date.accessioned2021-07-13T09:30:07Z
dc.date.available2021-07-13T09:30:07Z
dc.date.issued2017-06-12
dc.identifier.urihttp://hdl.handle.net/20.500.12761/410
dc.description.abstractThe REliable CApacity Provisioning and enhanced remediation for distributed cloud applications (RECAP) project aims to advance cloud and edge computing technology, to develop mechanisms for reliable capacity provisioning, and to make application placement, infrastructure management, and capacity provisioning autonomous, predictable and optimized. This paper presents the RECAP vision for an integrated edge-cloud architecture, discusses the scientific foundation of the project, and outlines plans for toolsets for continuous data collection, application performance modeling, application and component auto-scaling and remediation, and deployment optimization. The paper also presents four use cases from complementing fields that will be used to showcase the advancements of RECAP.
dc.language.isoeng
dc.titleReliable Capacity Provisioning for Distributed Cloud/Edge/Fog Computing Applicationsen
dc.typeconference object
dc.conference.date12-15 June 2017
dc.conference.placeOulu, Finland
dc.conference.titleThe 26th European Conference on Networks and Communications (EuCNC 2017)*
dc.event.typeconference
dc.pres.typepaper
dc.type.hasVersionVoR
dc.rights.accessRightsopen access
dc.page.final79
dc.page.initial74
dc.subject.keywordCloud computing
dc.subject.keywordcapacity provisioning
dc.subject.keywordapplication modeling
dc.subject.keywordworkload propagation
dc.subject.keyworddata collection
dc.subject.keywordanalytics
dc.subject.keywordmachine learning
dc.subject.keywordsimulation
dc.subject.keywordoptimization
dc.description.refereedTRUE
dc.description.statuspub
dc.eprint.idhttp://eprints.networks.imdea.org/id/eprint/1625


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