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dc.contributor.authorCarrera Pérez, David
dc.contributor.authorSteinder, Malgorzata
dc.contributor.authorWhalley, Ian
dc.contributor.authorTorres Viñals, Jordi
dc.contributor.authorAyguadé Parra, Eduard
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.date.accessioned2015-06-25T16:18:07Z
dc.date.created2008-12
dc.date.issued2008-12
dc.identifier.citationCarrera, D. [et al.]. Enabling resource sharing between transactional and batch workloads using dynamic application placement. "Lecture notes in computer science", Desembre 2008, vol. 5346, núm. 1, p. 203-222.
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/2117/28404
dc.description.abstractWe present a technique that enables existing middleware to fairly manage mixed workloads: batch jobs and transactional applications. The technique leverages a generic application placement controller, which dynamically allocates compute resources to application instances. The controller works towards a fairness goal while also trying to maximize individual workload performance. We use relative performance functions to drive the application placement controller. Such functions are derived from workload-specific performance models—in the case of transactional workloads, we use queuing theory to build the performance model. For batch workloads, we evaluate a candidate placement by calculating long-term estimates of the completion times that are achievable with that placement according to a scheduling policy. In this paper, we propose a lowest relative performance first scheduling policy as a way to also achieve fair resource allocation among batch jobs. Our technique permits collocation of the workload types on the same physical hardware, and leverages control mechanisms such as suspension and migration to perform online system reconfiguration. In our experiments we demonstrate that our technique maximizes mixed workload performance while providing service differentiation based on high-level performance goals.
dc.format.extent20 p.
dc.language.isoeng
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Telemàtica i xarxes d'ordinadors
dc.subjectÀrees temàtiques de la UPC::Informàtica::Llenguatges de programació
dc.subject.lcshComputer networks
dc.subject.lcshProgramming languages (Electronic computers)
dc.titleEnabling resource sharing between transactional and batch workloads using dynamic application placement
dc.typeArticle
dc.subject.lemacOrdinadors, Xarxes d'
dc.subject.lemacLlenguatges de programació
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1007/978-3-540-89856-6_11
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://link.springer.com/chapter/10.1007%2F978-3-540-89856-6_11
dc.rights.accessRestricted access - publisher's policy
drac.iddocument742471
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
upcommons.citation.authorCarrera, D.; Steinder, M.; Whalley, I.; Torres, J.; Ayguade, E.
upcommons.citation.publishedtrue
upcommons.citation.publicationNameLecture notes in computer science
upcommons.citation.volume5346
upcommons.citation.number1
upcommons.citation.startingPage203
upcommons.citation.endingPage222


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Except where otherwise noted, content on this work is licensed under a Creative Commons license: Attribution-NonCommercial-NoDerivs 3.0 Spain