An examination of strategies for estimating capacity to share among private workstations
SIGSMALL '91 Proceedings of the 1991 ACM SIGSMALL/PC symposium on Small systems
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IEEE Transactions on Computers
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HPDC '99 Proceedings of the 8th IEEE International Symposium on High Performance Distributed Computing
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IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
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ICPP '04 Proceedings of the 2004 International Conference on Parallel Processing
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CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
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This paper proposes strategies for identification and information of idle resources in a distributed environment with centralized management. The presented approaches make it possible to obtain load indexes free from transient variations on the allocation of resources. This is possible through the use of exponential moving averages to process temporal series of data. The knowledge of trends of resource utilization was fundamental for the elaboration of an information algorithm, used by the owners of the resources to inform about their availability to the environment manager. Experimental results confirm the efficiency of the proposed model to reduce the number of load indexes transmitted and consequently, to obtain a significant decrease of network traffic and of the amount of transactions processed by the manager.