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Dynamic load balancing efficiently in a large-scale cluster
by Bao-Yin Zhang, Ze-Yao Mo, Guang-Wen Yang, Wei-Min Zheng
International Journal of High Performance Computing and Networking (IJHPCN), Vol. 6, No. 2, 2009

 

Abstract: Random Stealing (RS) is a well-known dynamic load-balancing algorithm, used both in shared-memory and distributed-memory systems. However, for a large-scale cluster, the simple RS policy is no longer efficient because an idle node must randomly steal many times to obtain a task from another node. In this paper, we propose a novel dynamic load-balancing algorithm, Transitive Random Stealing (TRS), which can make any idle node obtain a task from another node with much fewer stealing times in a large-scale cluster. Analysing and testing show that TRS is a highly efficient dynamic load-balancing algorithm in a large-scale cluster.

Online publication date: Sun, 26-Jul-2009

 

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