Computational grids are increasingly being deployed in campus environments to provide unified access to distributed and heterogeneous resources such as clusters, storage arrays, networks, and scientific instruments. While the existing grid computing frameworks and protocols provide a robust set of mechanisms for user authentication, security, workflow and resource management; efficient scheduling of tasks on distributed and heterogeneous resources, termed metascheduling, is an active area of research.

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