dc.creatorLópez-Pires, Fabio
dc.creatorBarán, Benjamín
dc.creatorPereira, Carolina
dc.creatorVelázquez, Marcelo
dc.creatorGonzález, Osvaldo
dc.date2018-06
dc.date2018
dc.date2018-10-18T18:53:08Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/70003
dc.identifierisbn:978-950-34-1659-4
dc.descriptionCloud 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.
dc.descriptionFacultad de Informática
dc.formatapplication/pdf
dc.format148-157
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectVirtual Machine Placement, OpenStack, Multi-Objective Optimization, Cloud Datacenters
dc.subjectvirtualización
dc.titleTowards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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