Abstract
P2P grid computing systems integrate geographical computing resources across multiple administrative domains. In P2P grid systems, one of the most important challenges is how to efficiently exploit the load balancing of distributed computing resources. This paper proposes a performance-aware load balancing mechanism in order to exploit distributed computing resources in P2P grid computing systems. The performance-aware load balancing mechanism supports the capabilities of resource information gathering, job migration and load balancing. The resource information gathering uses the P2P technique to collect distributed resource information; the job migration mechanism adopts the P2P technique to improve the utilization of idle computing resources; and the decentralized load balancing policy could dynamically adjust the load according to the system performance. We quantify the performance of our performance-aware load balancing mechanism. Experimental results show that our proposed mechanism could efficiently distribute load in P2P Grid systems.
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Yu, YF., Huang, PJ., Lai, KC., Yang, CT., Li, KC. (2009). On the Design of a Performance-Aware Load Balancing Mechanism for P2P Grid Systems. In: Abdennadher, N., Petcu, D. (eds) Advances in Grid and Pervasive Computing. GPC 2009. Lecture Notes in Computer Science, vol 5529. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01671-4_25
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DOI: https://doi.org/10.1007/978-3-642-01671-4_25
Publisher Name: Springer, Berlin, Heidelberg
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