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Whereas grids enable the sharing, selection, query and aggregation of geographically distributed resources for solving large-scale problems, providing efficient resource allocation mechanism managing Grid resources is a complex undertaking. In this work, we have investigated several famous schedule methods proposed by Nimrod-G, a famous computational economy framework for regulating the supply and...
Desirable goals for grid task scheduling algorithms would shorten average delay, maximize system utilization and fulfill user constraints. In this work, an agent-based grid management infrastructure coupled with mean field annealing (MFA) scheduling algorithm has been proposed. An agent in grid utilizes a neural network algorithm to manage and schedule tasks. The Hopfield neural network is good at...
Task scheduling is a key concern in developing grid computation application. Desirable goals for grid task scheduling algorithms would shorten average delay and maximize system utilization and fulfil user constraints. In this work, an agent-based grid management infrastructure is coupled with Hopfield neural network scheduling algorithm. An agent in a grid utilizes a neural network algorithm to manage...
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