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dc.contributor.authorLópez, Fabio 
dc.contributor.authorBarán Cegla, Benjamín 
dc.contributor.authorPereira, Carolina
dc.contributor.authorVelázquez, Marcelo
dc.contributor.authorGonzález, Osvaldo Miguel 
dc.contributor.otherUniversidad Nacional del Este - Facultad Politécnicaes
dc.date.accessioned2022-05-02T19:32:01Z
dc.date.available2022-05-02T19:32:01Z
dc.date.issued2018
dc.identifier.urihttp://hdl.handle.net/20.500.14066/3883
dc.description.abstractCloud computing datacenters currently provide millions of virtual machines in highly dynamic Infrastructure as a Service (IaaS) markets. As a first step on implementing algorithms previously proposed by the authors for Virtual Machine Placement (VMP) in a real world IaaS middleware, this work presents an experimental comparison of these algorithms against current algorithms considered for solving VMP problems in OpenStack. Several experiments considering scenario based simulations for uncertainty modelling demonstrate that the proposed algorithms present promising results for its implementation towards real-world operations. Next research steps are also summarized.es
dc.description.sponsorshipCONACYT – Consejo Nacional de Ciencia y Tecnologíaes
dc.language.isoenges
dc.subject.classification4 Transporte, telecomunicaciones y otras infraestructurases
dc.subject.otherVIRTUAL MACHINE PLACEMENTes
dc.subject.otherOPENSTACKes
dc.subject.otherMULTI-OBJECTIVE OPTIMIZATIONes
dc.subject.otherCLOUD DATACENTERSes
dc.titleTowards elastic virtual machine placement in overbooked openstack clouds under uncertaintyes
dc.typeconference paperes
dc.conference.date2018-06
dc.conference.placeLa Plata, ARes
dc.conference.titleVI Jornadas de Cloud Computing y Big Dataes
dc.description.fundingtextPROCIENCIAes
dc.relation.projectCONACYTPINV15-781es
dc.rights.accessRightsopen accesses
dc.subject.ocdeINFORMATICAes


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