A Comparison of Centralized and Distributed Meta-Scheduling Architectures for Computation and Communication Tasks in Grid Networks

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Executive Summary

The management of Grid resources requires scheduling of both computation and communication tasks at various levels. In this paper, the authors consider the two constituent sub-problems of Grid scheduling, namely: the scheduling of computation tasks to processing resources and the routing and scheduling of the data movement in a Grid network. Regarding computation tasks, they examine two typical online task scheduling algorithms that employ advance reservations and perform full network simulation experiments to measure their performance when implemented in a centralized or distributed manner.

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