Dynamic load redistribution approach using genetic information in distributed computing

Authors:
Seonghoon Lee;Dongwoo Lee;Donghee Shim;Dongyoung Cho
Affiliations:
Department of Computer Science, Cheonan University, Choongnam, Korea;Department of Computer Science, Woosong University, Daejon, Korea;School of Information Technology & Engineering, Jeonju University, Chonbuk, Republic of Korea;School of Information Technology & Engineering, Jeonju University, Chonbuk, Republic of Korea
Venue:
ICCSA'05 Proceedings of the 2005 international conference on Computational Science and its Applications - Volume Part I
Year:
2005

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Abstract

Under sender-initiated load redistribution algorithms, the sender continues to send unnecessary request messages for load transfer until a receiver is found while the system load is heavy. Because of these unnecessary request messages it results in inefficient communications, low cpu utilization, and low system throughput. To solve these problems, we propose a genetic algorithm approach for improved sender-initiated load redistribution in distributed systems, and define a suitable fitness function. This algorithm decreases response time and increases acceptance rate.