Detalhes bibliográficos
Ano de defesa: |
2008 |
Autor(a) principal: |
Rios, Ricardo Araújo |
Orientador(a): |
Guardia, Hélio Crestana
 |
Banca de defesa: |
Não Informado pela instituição |
Tipo de documento: |
Dissertação
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Tipo de acesso: |
Acesso aberto |
Idioma: |
por |
Instituição de defesa: |
Universidade Federal de São Carlos
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Programa de Pós-Graduação: |
Programa de Pós-Graduação em Ciência da Computação - PPGCC
|
Departamento: |
Não Informado pela instituição
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País: |
BR
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Palavras-chave em Português: |
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Palavras-chave em Inglês: |
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Área do conhecimento CNPq: |
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Link de acesso: |
https://repositorio.ufscar.br/handle/20.500.14289/401
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Resumo: |
The constant improvement in performance that computers and interconnection networks present has favored the use of distributed computational resources, and given rise to Grid Computing. This new approach uses heterogeneous and geographically distributed resources to resolve problems with high computational costs. The execution of applications in this environment is generally achieved with scheduling mechanisms that manipulate the task set and its interdependences, mapping the tasks on to the resources. However, existing schedulers generate the schedule of each application individually, not evaluating the impact on the execution of previously scheduled applications. In this sense, this work presents a global scheduling tool for the tasks submitted to the Grid, and also presents a scheduling algorithm that allocates tasks between previously scheduled slots of time. The use of the proposed tool and algorithm permit a reduction in the amount of time processors remain idle and therefore a more efficient execution of the applications. |