An adaptive management proposal for optimizing the performance of a virtualized computing environment

Detalhes bibliográficos
Autor(a) principal: Rendeiro, J. M. A.
Data de Publicação: 2012
Outros Autores: Marinheiro, R. N., Moura, J. A., Silva, J. C.
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10071/27917
Resumo: The number of virtualized servers is overtaking, by a large amount, the number of physical servers. One of the drawbacks of this new scenario is a much more complex computing infrastructure to manage. In this way, the current paper proposes a adaptive management prototype that controls a virtualized environment. This prototype guarantees an adaptive and automatic solution that efficiently supervises and controls any virtualized environment, without almost any human intervention. In addition, it manages the relevant physical computing resources allocated to each virtual machine, like memory and processing power. The results from our prototype suggest that it is possible to balance memory among various machines and perform an effective control of each machine's workload, with a simple and low cost solution for our initial problem.
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spelling An adaptive management proposal for optimizing the performance of a virtualized computing environmentAdaptive optimizationDynamic optimizationAutonomic computingVirtual machinesVirtualizationThe number of virtualized servers is overtaking, by a large amount, the number of physical servers. One of the drawbacks of this new scenario is a much more complex computing infrastructure to manage. In this way, the current paper proposes a adaptive management prototype that controls a virtualized environment. This prototype guarantees an adaptive and automatic solution that efficiently supervises and controls any virtualized environment, without almost any human intervention. In addition, it manages the relevant physical computing resources allocated to each virtual machine, like memory and processing power. The results from our prototype suggest that it is possible to balance memory among various machines and perform an effective control of each machine's workload, with a simple and low cost solution for our initial problem.Mosharaka for Research and Studies2023-02-15T12:43:52Z2012-01-01T00:00:00Z20122023-02-15T12:43:17Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10071/27917eng2227-331XRendeiro, J. M. A.Marinheiro, R. N.Moura, J. A.Silva, J. C.info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-07-07T03:31:34Zoai:repositorio.iscte-iul.pt:10071/27917Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-07-07T03:31:34Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv An adaptive management proposal for optimizing the performance of a virtualized computing environment
title An adaptive management proposal for optimizing the performance of a virtualized computing environment
spellingShingle An adaptive management proposal for optimizing the performance of a virtualized computing environment
Rendeiro, J. M. A.
Adaptive optimization
Dynamic optimization
Autonomic computing
Virtual machines
Virtualization
title_short An adaptive management proposal for optimizing the performance of a virtualized computing environment
title_full An adaptive management proposal for optimizing the performance of a virtualized computing environment
title_fullStr An adaptive management proposal for optimizing the performance of a virtualized computing environment
title_full_unstemmed An adaptive management proposal for optimizing the performance of a virtualized computing environment
title_sort An adaptive management proposal for optimizing the performance of a virtualized computing environment
author Rendeiro, J. M. A.
author_facet Rendeiro, J. M. A.
Marinheiro, R. N.
Moura, J. A.
Silva, J. C.
author_role author
author2 Marinheiro, R. N.
Moura, J. A.
Silva, J. C.
author2_role author
author
author
dc.contributor.author.fl_str_mv Rendeiro, J. M. A.
Marinheiro, R. N.
Moura, J. A.
Silva, J. C.
dc.subject.por.fl_str_mv Adaptive optimization
Dynamic optimization
Autonomic computing
Virtual machines
Virtualization
topic Adaptive optimization
Dynamic optimization
Autonomic computing
Virtual machines
Virtualization
description The number of virtualized servers is overtaking, by a large amount, the number of physical servers. One of the drawbacks of this new scenario is a much more complex computing infrastructure to manage. In this way, the current paper proposes a adaptive management prototype that controls a virtualized environment. This prototype guarantees an adaptive and automatic solution that efficiently supervises and controls any virtualized environment, without almost any human intervention. In addition, it manages the relevant physical computing resources allocated to each virtual machine, like memory and processing power. The results from our prototype suggest that it is possible to balance memory among various machines and perform an effective control of each machine's workload, with a simple and low cost solution for our initial problem.
publishDate 2012
dc.date.none.fl_str_mv 2012-01-01T00:00:00Z
2012
2023-02-15T12:43:52Z
2023-02-15T12:43:17Z
dc.type.driver.fl_str_mv conference object
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10071/27917
url http://hdl.handle.net/10071/27917
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2227-331X
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Mosharaka for Research and Studies
publisher.none.fl_str_mv Mosharaka for Research and Studies
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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