Detalhes bibliográficos
| Ano de defesa: |
2009 |
| Autor(a) principal: |
GOMES, Raphael de Aquino
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| Orientador(a): |
COSTA, Fábio Moreira
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| 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 Goiás
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| Programa de Pós-Graduação: |
Mestrado em Ciência da Computação
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| Departamento: |
Ciências Exatas e da Terra - Ciências da Computação
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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: |
http://repositorio.bc.ufg.br/tede/handle/tde/524
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Resumo: |
Scavenging grid computing environments are being even more used as an alternative aside traditional processing categories. This kind of system is characterized by using of communal and shared workstations and its main concern is the guarantee of performance for the user who gives its resources to the grid. This concern, and because it is an extremaly dynamic environment, causes the adoption of treatments limited to best-effort. However, this effort hardly ever is fulfilled in an optimal way due the fact that are usually used treatments which doesn t create an effective managing of resources, doing the competitiveness of the grid applications with the local applications always penalize the grid s tasks, lowing the its performance. This work presents an architecture for the performance improvement to the grid applications, which takes into account using profiles of resources for locals applications, trying to identify when it is temporary and avoid taking actions as grid tasks migration. As alternative way or additional is proposed the using of adaptive technics who focus allowing the grade tasks maintenance on the actual node or the system improvement. The architecture was partially implemented on InteGrade middleware. We describe the developed implementation an its evaluation |
