Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty

Autores
López-Pires, Fabio; Barán, Benjamín; Pereira, Carolina; Velázquez, Marcelo; González, Osvaldo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
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.
Facultad de Informática
Materia
Ciencias Informáticas
Virtual Machine Placement, OpenStack, Multi-Objective Optimization, Cloud Datacenters
virtualización
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-sa/4.0/
Repositorio
SEDICI (UNLP)
Institución
Universidad Nacional de La Plata
OAI Identificador
oai:sedici.unlp.edu.ar:10915/70003
Acceder
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network_name_str SEDICI (UNLP)
spelling Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under UncertaintyLópez-Pires, FabioBarán, BenjamínPereira, CarolinaVelázquez, MarceloGonzález, OsvaldoCiencias InformáticasVirtual Machine Placement, OpenStack, Multi-Objective Optimization, Cloud DatacentersvirtualizaciónCloud 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.Facultad de Informática2018-06info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionObjeto de conferenciahttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdf148-157http://sedici.unlp.edu.ar/handle/10915/70003enginfo:eu-repo/semantics/altIdentifier/isbn/978-950-34-1659-4info:eu-repo/semantics/reference/hdl/10915/69464info:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-sa/4.0/Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)reponame:SEDICI (UNLP)instname:Universidad Nacional de La Platainstacron:UNLP2025-09-29T11:11:06Zoai:sedici.unlp.edu.ar:10915/70003Institucionalhttp://sedici.unlp.edu.ar/Universidad públicaNo correspondehttp://sedici.unlp.edu.ar/oai/snrdalira@sedici.unlp.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:13292025-09-29 11:11:06.394SEDICI (UNLP) - Universidad Nacional de La Platafalse
dc.title.none.fl_str_mv Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
title Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
spellingShingle Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
López-Pires, Fabio
Ciencias Informáticas
Virtual Machine Placement, OpenStack, Multi-Objective Optimization, Cloud Datacenters
virtualización
title_short Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
title_full Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
title_fullStr Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
title_full_unstemmed Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
title_sort Towards Elastic Virtual Machine Placement in Overbooked OpenStack Clouds under Uncertainty
dc.creator.none.fl_str_mv López-Pires, Fabio
Barán, Benjamín
Pereira, Carolina
Velázquez, Marcelo
González, Osvaldo
author López-Pires, Fabio
author_facet López-Pires, Fabio
Barán, Benjamín
Pereira, Carolina
Velázquez, Marcelo
González, Osvaldo
author_role author
author2 Barán, Benjamín
Pereira, Carolina
Velázquez, Marcelo
González, Osvaldo
author2_role author
author
author
author
dc.subject.none.fl_str_mv Ciencias Informáticas
Virtual Machine Placement, OpenStack, Multi-Objective Optimization, Cloud Datacenters
virtualización
topic Ciencias Informáticas
Virtual Machine Placement, OpenStack, Multi-Objective Optimization, Cloud Datacenters
virtualización
dc.description.none.fl_txt_mv 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.
Facultad de Informática
description 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.
publishDate 2018
dc.date.none.fl_str_mv 2018-06
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
Objeto de conferencia
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://sedici.unlp.edu.ar/handle/10915/70003
url http://sedici.unlp.edu.ar/handle/10915/70003
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/isbn/978-950-34-1659-4
info:eu-repo/semantics/reference/hdl/10915/69464
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-sa/4.0/
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.format.none.fl_str_mv application/pdf
148-157
dc.source.none.fl_str_mv reponame:SEDICI (UNLP)
instname:Universidad Nacional de La Plata
instacron:UNLP
reponame_str SEDICI (UNLP)
collection SEDICI (UNLP)
instname_str Universidad Nacional de La Plata
instacron_str UNLP
institution UNLP
repository.name.fl_str_mv SEDICI (UNLP) - Universidad Nacional de La Plata
repository.mail.fl_str_mv alira@sedici.unlp.edu.ar
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