An adaptive load balancing approach in distributed computing using genetic theory

Authors:
SeongHoon Lee;DongWoo Lee;WanKwon Lee;HyunJoon Cho
Affiliations:
Division of Information and Communication Engineering, Cheonan University, Cheonan, Choongnam, Republic of Korea;Department of Computer Engineering, WooSong University, Daejeon, Republic of Korea;School of Information Technology & Engineering, Jeonju University, Chonbuk, Republic of Korea;School of Information Technology & Engineering, Jeonju University, Chonbuk, Republic of Korea
Venue:
PDCAT'04 Proceedings of the 5th international conference on Parallel and Distributed Computing: applications and Technologies
Year:
2004

Citing 3
Cited 0

Optimization of control parameters for genetic algorithms

IEEE Transactions on Systems, Man and Cybernetics
The Influence of Different Workload Descriptions on a Heuristic Load Balancing Scheme

IEEE Transactions on Software Engineering
An introduction to genetic algorithms

An introduction to genetic algorithms

Quantified Score

Hi-index	0.00

Visualization

Abstract

In sender-initiated load balancing algorithms, the sender continues to send unnecessary request messages for 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 low. These unnecessary request messages result in inefficient communications, low CPU utilization, and low system throughput in distributed systems. To solve these problems, we propose a genetic based approach for improved sender-initiated and receiver-initiated load balancing in distributed systems.