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dc.creatorGutiérrez S.A.
dc.creatorBarcellos M.
dc.creatorBranch J.W.
dc.date2018
dc.date.accessioned2021-02-05T14:59:54Z
dc.date.available2021-02-05T14:59:54Z
dc.identifier.issn127353
dc.identifier.urihttp://hdl.handle.net/11407/6133
dc.descriptionState-of-the-art solutions for flow scheduling propose the use of Multi Level Feedback Queue (MLFQ) as a mechanism to avoid the requirement of prior information (i.e. agnosticism) regarding flow sizes. This is an important aspect to achieve the performance goals of high responsiveness and high throughput that is expected in Cloud Applications (e.g. search engines, social networks, and e-commerce sites). These goals are tightly associated with the prioritization of short flows (a few KB in size), the majority for these applications rather than long flows (several MB in size). However, these applications usually cannot provide information in advance about the size of the flows. In this paper, we analyze the feasibility of providing dynamic adjustment for a MLFQ-based scheduling system in such a way that it adapts itself to the time and space variations exhibited by Data Center Network (DCN) traffic without requiring prior information about workload properties. © The author; licensee Universidad Nacional de Colombia.
dc.language.isoeng
dc.publisherUniversidad Nacional de Colombia
dc.relation.isversionofhttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85060983713&doi=10.15446%2fdyna.v85n206.71626&partnerID=40&md5=ba3f9ff35cb4f1fce912efe75c361d1e
dc.sourceDYNA (Colombia)
dc.titleDynamic adjustment of a MLFQ flow scheduler to improve cloud applications performance
dc.typeArticleeng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.publisher.programIngeniería de Telecomunicacionesspa
dc.identifier.doi10.15446/dyna.v85n206.71626
dc.relation.citationvolume85
dc.relation.citationissue206
dc.relation.citationstartpage16
dc.relation.citationendpage23
dc.publisher.facultyFacultad de Ingenieríasspa
dc.affiliationGutiérrez, S.A., Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia, Facultad de Ingenierías, Universidad de Medellín, Medellín, Colombia
dc.affiliationBarcellos, M., Instituto de Infiormática, Universidade Federal do Rio Grande do Sul, Porto Alegre, Brazil
dc.affiliationBranch, J.W., Facultad de Minas, Universidad Nacional de Colombia, Medellín, Colombia
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dc.type.versioninfo:eu-repo/semantics/publishedVersion
dc.type.driverinfo:eu-repo/semantics/article


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