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

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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Main Authors: Chiyoshi,Fernando, Galvão,Roberto D., Morabito,Reinaldo
Format: Digital revista
Language:English
Published: Sociedade Brasileira de Pesquisa Operacional 2001
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382001000200005
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spelling oai:scielo:S0101-743820010002000052002-04-24MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOSChiyoshi,FernandoGalvão,Roberto D.Morabito,Reinaldo hypercube model non-homogeneous servers method of Gauss-Siedel 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 probleminfo:eu-repo/semantics/openAccessSociedade Brasileira de Pesquisa OperacionalPesquisa Operacional v.21 n.2 20012001-07-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382001000200005en10.1590/S0101-74382001000200005
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country Brasil
countrycode BR
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region America del Sur
libraryname SciELO
language English
format Digital
author Chiyoshi,Fernando
Galvão,Roberto D.
Morabito,Reinaldo
spellingShingle Chiyoshi,Fernando
Galvão,Roberto D.
Morabito,Reinaldo
MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
author_facet Chiyoshi,Fernando
Galvão,Roberto D.
Morabito,Reinaldo
author_sort Chiyoshi,Fernando
title MODELO HIPERCUBO: ANÁLISE E RESULTADOS PARA O CASO DE SERVIDORES NÃO-HOMOGÊNEOS
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
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
publisher Sociedade Brasileira de Pesquisa Operacional
publishDate 2001
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0101-74382001000200005
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AT galvaorobertod modelohipercuboanaliseeresultadosparaocasodeservidoresnaohomogeneos
AT morabitoreinaldo modelohipercuboanaliseeresultadosparaocasodeservidoresnaohomogeneos
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