Improving virtual machine consolidation for heterogeneous cloud computing datacenters

Detalhes bibliográficos
Autor(a) principal: Rodrigues, Joao Antonio Magri [UNESP]
Data de Publicação: 2019
Outros Autores: De Oliveira, Fabiola Martins C., Lobato, Renata Spolon [UNESP], Spolon, Roberta [UNESP], Manacero, Aleardo [UNESP], Borin, Edson
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1109/SBAC-PAD.2019.00037
http://hdl.handle.net/11449/199848
Resumo: Datacenters in cloud computing systems may consist of thousands of computing nodes and communication devices, requiring virtual machine placement to optimize resources utilization. Heterogeneous environments of current datacenters have not been properly evaluated yet when the number of processing nodes and network devices is considered. This paper presents an approach to place virtual machines to minimize both the number of employed computing nodes and communication costs in heterogeneous environments. We evaluate our results against other known algorithms to show the efficiency of the proposed approach, which outperforms a state-of-the-art algorithm with a result of up to 13% better for network improvement while achieves the same number of computing nodes.
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spelling Improving virtual machine consolidation for heterogeneous cloud computing datacentersCloud computingHeterogeneous systemsVirtual machine placementDatacenters in cloud computing systems may consist of thousands of computing nodes and communication devices, requiring virtual machine placement to optimize resources utilization. Heterogeneous environments of current datacenters have not been properly evaluated yet when the number of processing nodes and network devices is considered. This paper presents an approach to place virtual machines to minimize both the number of employed computing nodes and communication costs in heterogeneous environments. We evaluate our results against other known algorithms to show the efficiency of the proposed approach, which outperforms a state-of-the-art algorithm with a result of up to 13% better for network improvement while achieves the same number of computing nodes.Dept. of Computer Science and Statistics São Paulo State University (UNESP) São José Do Rio PretoInstitute of Computing University of CampinasFaculty of Science São Paulo State University (UNESP)Dept. of Computer Science and Statistics São Paulo State University (UNESP) São José Do Rio PretoFaculty of Science São Paulo State University (UNESP)Universidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Rodrigues, Joao Antonio Magri [UNESP]De Oliveira, Fabiola Martins C.Lobato, Renata Spolon [UNESP]Spolon, Roberta [UNESP]Manacero, Aleardo [UNESP]Borin, Edson2020-12-12T01:50:56Z2020-12-12T01:50:56Z2019-10-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject176-179http://dx.doi.org/10.1109/SBAC-PAD.2019.00037Proceedings - Symposium on Computer Architecture and High Performance Computing, v. 2019-October, p. 176-179.1550-6533http://hdl.handle.net/11449/19984810.1109/SBAC-PAD.2019.000372-s2.0-85076883130Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengProceedings - Symposium on Computer Architecture and High Performance Computinginfo:eu-repo/semantics/openAccess2021-10-23T10:11:00Zoai:repositorio.unesp.br:11449/199848Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T16:34:05.759894Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Improving virtual machine consolidation for heterogeneous cloud computing datacenters
title Improving virtual machine consolidation for heterogeneous cloud computing datacenters
spellingShingle Improving virtual machine consolidation for heterogeneous cloud computing datacenters
Rodrigues, Joao Antonio Magri [UNESP]
Cloud computing
Heterogeneous systems
Virtual machine placement
title_short Improving virtual machine consolidation for heterogeneous cloud computing datacenters
title_full Improving virtual machine consolidation for heterogeneous cloud computing datacenters
title_fullStr Improving virtual machine consolidation for heterogeneous cloud computing datacenters
title_full_unstemmed Improving virtual machine consolidation for heterogeneous cloud computing datacenters
title_sort Improving virtual machine consolidation for heterogeneous cloud computing datacenters
author Rodrigues, Joao Antonio Magri [UNESP]
author_facet Rodrigues, Joao Antonio Magri [UNESP]
De Oliveira, Fabiola Martins C.
Lobato, Renata Spolon [UNESP]
Spolon, Roberta [UNESP]
Manacero, Aleardo [UNESP]
Borin, Edson
author_role author
author2 De Oliveira, Fabiola Martins C.
Lobato, Renata Spolon [UNESP]
Spolon, Roberta [UNESP]
Manacero, Aleardo [UNESP]
Borin, Edson
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Rodrigues, Joao Antonio Magri [UNESP]
De Oliveira, Fabiola Martins C.
Lobato, Renata Spolon [UNESP]
Spolon, Roberta [UNESP]
Manacero, Aleardo [UNESP]
Borin, Edson
dc.subject.por.fl_str_mv Cloud computing
Heterogeneous systems
Virtual machine placement
topic Cloud computing
Heterogeneous systems
Virtual machine placement
description Datacenters in cloud computing systems may consist of thousands of computing nodes and communication devices, requiring virtual machine placement to optimize resources utilization. Heterogeneous environments of current datacenters have not been properly evaluated yet when the number of processing nodes and network devices is considered. This paper presents an approach to place virtual machines to minimize both the number of employed computing nodes and communication costs in heterogeneous environments. We evaluate our results against other known algorithms to show the efficiency of the proposed approach, which outperforms a state-of-the-art algorithm with a result of up to 13% better for network improvement while achieves the same number of computing nodes.
publishDate 2019
dc.date.none.fl_str_mv 2019-10-01
2020-12-12T01:50:56Z
2020-12-12T01:50:56Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1109/SBAC-PAD.2019.00037
Proceedings - Symposium on Computer Architecture and High Performance Computing, v. 2019-October, p. 176-179.
1550-6533
http://hdl.handle.net/11449/199848
10.1109/SBAC-PAD.2019.00037
2-s2.0-85076883130
url http://dx.doi.org/10.1109/SBAC-PAD.2019.00037
http://hdl.handle.net/11449/199848
identifier_str_mv Proceedings - Symposium on Computer Architecture and High Performance Computing, v. 2019-October, p. 176-179.
1550-6533
10.1109/SBAC-PAD.2019.00037
2-s2.0-85076883130
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Proceedings - Symposium on Computer Architecture and High Performance Computing
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 176-179
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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