A Resource Manager for Shared Storage Cluster System in Grid Computing

C. Choi and S. Kim (Korea)


Grid computing, Shared storage cluster system, Resource management, Data reorganization


Because the data reorganization is usually a time consuming service, efficient data reorganization is a key factor of the performance of shared storage cluster system. This paper proposes adaptive data reorganization classifying data reorganization into full/partial data reorganization for the performance of shared storage cluster system. The performance results are compared with those of deferred data reorganization using a Markov model. In higher workload intensities, our method provides better average rate of servicing operations than that of deferred data reorganization. Furthermore, adaptive data reorganization can be a viable local resource management of shared storage cluster system for Grid computing.

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