IETE Technical Review · 2011 · 29 citations · 54 references
ComputingComputer EngineeringComputer ScienceDistributed SystemsGrid ComputingHeterogeneous ComputingDistributed AlgorithmsDistributed ComputingDistributed Heterogeneous SystemsDistributed SchedulingGrid ArchitectureTask SchedulingDistributed Task SchedulingGrid Computing ArchitecturesGrid SchedulingMeta-schedulingScheduling In Grid Computing
AbstractAs a new distributed heterogeneous computing platform, grid aims at achieving Internet-wide resource sharing and collaborative computing. Grid task scheduling (GTS) is the key issue of grid computing, and its algorithm has a direct effect on the performance of the whole system. In this paper, two key entities in GTS, applications and target systems, are defined first. And then two types of the most popular GTS algorithms, namely, meta-task GTS algorithm and directed acyclic graph GTS algorithm, are discussed in details in accordance with the classification of the traditional deterministic algorithm and heuristic intelligent algorithm. In addition, the comparative analysis is made among them. Finally, some main research directions of GTS are pointed out.
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