MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS

Detalhes bibliográficos
Autor(a) principal: Chiyoshi,Fernando
Data de Publicação: 2001
Outros Autores: Galvão,Roberto D., Morabito,Reinaldo
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Pesquisa operacional (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382001000200005
Resumo: The objective of the present paper is to analyze the use and solution of the hypercube model for the case of non-homogeneous servers (servers with different mean service times). Systems with non-homogeneous servers can be found in several real world applications, such as for example in the provision of Emergency Medical Services (EMS) in some Brazilian cities. The importance of explicitly considering non-homogeneous servers in the hypercube model is initially demonstrated through an illustrative example. It is then shown that the solution for the non-homogeneous case can be advantageously obtained by the method of Gauss-Siedel. This method was tested for a network of 55 nodes, in models with between 10 and 17 servers, with the total system workload varying between 0.1 and 0.9. Finally, a regression model is proposed to estimate the computing time required to solve a specific problem
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spelling MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOShypercube modelnon-homogeneous serversmethod of Gauss-SiedelThe objective of the present paper is to analyze the use and solution of the hypercube model for the case of non-homogeneous servers (servers with different mean service times). Systems with non-homogeneous servers can be found in several real world applications, such as for example in the provision of Emergency Medical Services (EMS) in some Brazilian cities. The importance of explicitly considering non-homogeneous servers in the hypercube model is initially demonstrated through an illustrative example. It is then shown that the solution for the non-homogeneous case can be advantageously obtained by the method of Gauss-Siedel. This method was tested for a network of 55 nodes, in models with between 10 and 17 servers, with the total system workload varying between 0.1 and 0.9. Finally, a regression model is proposed to estimate the computing time required to solve a specific problemSociedade Brasileira de Pesquisa Operacional2001-07-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382001000200005Pesquisa Operacional v.21 n.2 2001reponame:Pesquisa operacional (Online)instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)instacron:SOBRAPO10.1590/S0101-74382001000200005info:eu-repo/semantics/openAccessChiyoshi,FernandoGalvão,Roberto D.Morabito,Reinaldoeng2002-04-24T00:00:00Zoai:scielo:S0101-74382001000200005Revistahttp://www.scielo.br/popehttps://old.scielo.br/oai/scielo-oai.php||sobrapo@sobrapo.org.br1678-51420101-7438opendoar:2002-04-24T00:00Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)false
dc.title.none.fl_str_mv MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
title MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
spellingShingle MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
Chiyoshi,Fernando
hypercube model
non-homogeneous servers
method of Gauss-Siedel
title_short MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
title_full MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
title_fullStr MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
title_full_unstemmed MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
title_sort MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
author Chiyoshi,Fernando
author_facet Chiyoshi,Fernando
Galvão,Roberto D.
Morabito,Reinaldo
author_role author
author2 Galvão,Roberto D.
Morabito,Reinaldo
author2_role author
author
dc.contributor.author.fl_str_mv Chiyoshi,Fernando
Galvão,Roberto D.
Morabito,Reinaldo
dc.subject.por.fl_str_mv hypercube model
non-homogeneous servers
method of Gauss-Siedel
topic hypercube model
non-homogeneous servers
method of Gauss-Siedel
description The objective of the present paper is to analyze the use and solution of the hypercube model for the case of non-homogeneous servers (servers with different mean service times). Systems with non-homogeneous servers can be found in several real world applications, such as for example in the provision of Emergency Medical Services (EMS) in some Brazilian cities. The importance of explicitly considering non-homogeneous servers in the hypercube model is initially demonstrated through an illustrative example. It is then shown that the solution for the non-homogeneous case can be advantageously obtained by the method of Gauss-Siedel. This method was tested for a network of 55 nodes, in models with between 10 and 17 servers, with the total system workload varying between 0.1 and 0.9. Finally, a regression model is proposed to estimate the computing time required to solve a specific problem
publishDate 2001
dc.date.none.fl_str_mv 2001-07-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382001000200005
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382001000200005
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0101-74382001000200005
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
publisher.none.fl_str_mv Sociedade Brasileira de Pesquisa Operacional
dc.source.none.fl_str_mv Pesquisa Operacional v.21 n.2 2001
reponame:Pesquisa operacional (Online)
instname:Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron:SOBRAPO
instname_str Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
instacron_str SOBRAPO
institution SOBRAPO
reponame_str Pesquisa operacional (Online)
collection Pesquisa operacional (Online)
repository.name.fl_str_mv Pesquisa operacional (Online) - Sociedade Brasileira de Pesquisa Operacional (SOBRAPO)
repository.mail.fl_str_mv ||sobrapo@sobrapo.org.br
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