An adaptive management proposal for optimizing the performance of a virtualized computing environment
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , |
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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Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
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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 |
_version_ |
1817546492417671168 |