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Recently, cluster computers become a viable and less expensive alternative to multiprocessor systems. However, a serious difficulty in concurrent programming of a cluster computer system is how to deal with scheduling and load balancing of such a system which may consist of heterogeneous computers. Based on the four-tuple DLBM (Dynamic Load Balancing Model) which is proposed by other scholars, this paper introduces a five-tuple DLBM to better solve the above problems. The five-tuple involves balancing environment, task allotment, load estimate, scheduling strategy and scheduling evaluation. The five-tuple DLBM interprets the full aspects of load balancing and makes the logical relationship between the five tuples more clear by using formalized language.
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