Publication:
Resource Management for Service Level Aware Cloud Applications

dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorKlein, Cristianes
dc.contributor.authorHernández-Rodríguez, Franciscoes
dc.contributor.authorMaggio, Martinaes
dc.contributor.authorArzen, Karl-Erikes
dc.contributor.editorGarcía Valls, Marisoles
dc.contributor.editorCucinotta, Tommasoes
dc.date.accessioned2013-11-14T09:55:01Zes
dc.date.accessioned2013-12-12T12:08:10Z
dc.date.available2013-12-12T12:08:10Z
dc.date.issued2013-12-03es
dc.descriptionREACTION 2013. 2nd International Workshop on Real-time and distributed computing in emerging applications. December 3rd, 2013, Vancouver, Canada.en
dc.description.abstractResource allocation in clouds is mostly done assuming hard requirements, time-sensitive applications either receive the requested resources or fail, Given the dynamic nature of workloads, guaranteeing on-demand allocations requires large spare capacity. Hence, one cannot have a system that is both reliable and efficient. To mitigate this issue, we introduce service-level awareness in clouds, assuming applications contain some optional code that can be dynamically deactivated as needed. We propose a resource manager that allocates resources to multiple service-level-aware applications in a fair manner. To show the practical applicability, we implemented service-level-aware versions of RUBiS and RUBBoS, two popular cloud benchmarks, together with our resource manager. Experiments show that service-level awareness helps in withstanding flash-crowds or failures, opening up more flexibility in cloud resource management.en
dc.description.sponsorshipThis work was partially supported by the Swedish Research Council (YR) under contract number C059080l for the project Cloud Control and through the LCCC Linnaeus Center. Also, we received partial support from the EU project VISION Cloud under grant agreement no. 257019, the Swedish Government's strategic effort eSSENCE and from the ELLIIT Excellence Center.en
dc.format.extent6es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationREACTION 2013, co-located with IEEE RTSS. Vancouver, Canada. December 3rd, 2013. Universidad Carlos III de Madrid, 2013, pp. 37-42.es
dc.identifier.isbn978-84-616-7680-4en
dc.identifier.isbn84-616-7680-4en
dc.identifier.publicationfirstpage37es
dc.identifier.publicationlastpage42es
dc.identifier.publicationtitleInternational Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION)en
dc.identifier.urihttps://hdl.handle.net/10016/17919es
dc.language.isoenges
dc.publisherUniversidad Carlos III de Madrides
dc.relation.eventdateDecember 3, 2013en
dc.relation.eventnumber2es
dc.relation.eventplaceVancouver, Canadaes
dc.relation.eventtitleInternational Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION)en
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherSistemas en tiempo reales
dc.subject.otherSistemas distribuidoses
dc.subject.otherCloud computingen
dc.subject.otherResource Managementen
dc.subject.otherReal-timeen
dc.titleResource Management for Service Level Aware Cloud Applicationsen
dc.typeconference proceedings*
dc.type.hasVersionVoR*
dspace.entity.typePublication
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