Grades Computacionais Oportunistas: Alternativas para Melhorar o Desempenho das Aplicações
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Data
2009-04-13
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Universidade Federal de Goiás
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
Descrição
Citação
GOMES, Raphael de Aquino. Scavenging Grid Computing: Alternatives to Improve
the Applications Performance. 2009. 129 f. Dissertação (Mestrado em Ciências Exatas e da Terra - Ciências da Computação) - Universidade Federal de Goiás, Goiânia, 2009.