Grid Computing P32

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Grid Computing P32

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Most, if not all, Computational Grid resource allocation and scheduling research espouses one of two paradigms: centralized omnipotent resource control [1–4] or localized application control [5–8]. The first is not a scalable solution either in terms of execution efficiency (the resource broker or scheduler becomes a bottleneck) or fault resilience (the allocation mechanism is a single point of failure). On the other hand, the second approach can lead to unstable resource assignments as ‘Grid-aware’ applications adapt to compete for resources....

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