A Dynamic toad Redistribution Using Genetic Algorithm in Heterogeneous Systems


Lee Seong Hoon, Journal of Information Processing Systems Vol. 5, No. 6, pp. 93-102, Dec. 2004  


Keywords: Genetic theory, Distributed Computing, Fitness Function, Population
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Abstract

In a receiver-initiated load redistribution algorithm, receiver(underloaded processor) continues to send unnecessary request messages for load transfer until a sender(overloaded processor) is found while the system load is light, Therefore, it yields many problems such as low cpu utilization and system throughput because of inefficient inter-processor communications until the receiver receives an accept message from the sender in this environment. This paper presents an approach based on genetic algorithm(GA) for dynamic load redistribution in heterogeneous distributed systems. In this scheme the processors to which the requests are sent off are determined by the proposed GA to decrease unnecessary request messages. The performance of proposed algorithm shows better than that of the conventional algorithm through various experiments.


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Cite this article
[APA Style]
Hoon, L. (2004). A Dynamic toad Redistribution Using Genetic Algorithm in Heterogeneous Systems. Journal of Internet Computing and Services, 5(6), 93-102.

[IEEE Style]
L. S. Hoon, "A Dynamic toad Redistribution Using Genetic Algorithm in Heterogeneous Systems," Journal of Internet Computing and Services, vol. 5, no. 6, pp. 93-102, 2004.

[ACM Style]
Lee Seong Hoon. 2004. A Dynamic toad Redistribution Using Genetic Algorithm in Heterogeneous Systems. Journal of Internet Computing and Services, 5, 6, (2004), 93-102.