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dc.date.accessioned 2018-10-18T18:53:08Z
dc.date.available 2018-10-18T18:53:08Z
dc.date.issued 2018
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/70003
dc.description.abstract Cloud 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. en
dc.format.extent 148-157 es
dc.language en es
dc.subject Virtual Machine Placement, OpenStack, Multi-Objective Optimization, Cloud Datacenters en
dc.subject virtualización es
dc.title Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-950-34-1659-4 es
sedici.creator.person López-Pires, Fabio es
sedici.creator.person Barán, Benjamín es
sedici.creator.person Pereira, Carolina es
sedici.creator.person Velázquez, Marcelo es
sedici.creator.person González, Osvaldo es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2018-06
sedici.relation.event VI Jornadas de Cloud Computing & Big Data (JCC&BD) (La Plata, 2018) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/69464 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)