A genetic information based load redistribution approach including high-response time in distributed computing system

Authors:
Seong Hoon Lee;Dongwoo Lee;Wankwon Lee;Hyunjoon 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 1200, Jeon-Ju, Chonbuk, Republic of Korea;School of Information Technology & Engineering, Jeonju University 1200, Jeon-Ju, Chonbuk, Republic of Korea
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part I
Year:
2005

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Abstract

Load redistribution algorithm is a critical element in distributed system. We propose a new load redistribution algorithm based on genetic information to obtain high response time in distributed systems. 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. This algorithm decreases response time and increases acceptance rate.