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GA-based Adaptive Load Balancing Method in Distributed Systems
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  • GA-based Adaptive Load Balancing Method in Distributed Systems
  • GA-based Adaptive Load Balancing Method in Distributed Systems
저자명
Lee. Seong-Hoon,Lee. Sang-Gu
간행물명
International journal of fuzzy logic and intelligent systems
권/호정보
2002년|2권 1호|pp.59-64 (6 pages)
발행정보
한국지능시스템학회
파일정보
정기간행물|ENG|
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기타
이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

In the sender-initiated load balancing algorithms, the sender continues to send an unnecessary request message fur load transfer until a receiver is found while the system load is heavy. Meanwhile, in the receiver-initiated load balancing algorithms, the receiver continues to send an unnecessary request message for load acquisition until a sender is found while the system load is light. These unnecessary request messages result in inefficient communications, low CPU utilization, and low system throughput in distributed systems. To solve these problems, in this paper, we propose a genetic algorithm based approach fur improved sender-initiated and receiver-initiated load balancing. The proposed algorithm is used for new adaptive load balancing approach. Compared with the conventional sender-initiated and receiver-initiated load balancing algorithms, the proposed algorithm decreases the response time and increases the acceptance rate.