A Fuzzy Load Balancing Service for Network Computing Based on Jini
Euro-Par '01 Proceedings of the 7th International Euro-Par Conference Manchester on Parallel Processing
On Load Balancing Approaches for Distributed Object Computing Systems
The Journal of Supercomputing
A new fuzzy-decision based load balancing system for distributed object computing
Journal of Parallel and Distributed Computing
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In this paper, genetic based Generalized Dimension Exchange (GDE) method is proposed with the intention to uniformly distribute the unprecedented Web cluster workload. Due to the vagueness of workload during redistribution period, fuzzy approach is implemented to model the Web cluster distributed system during workload exchanged. According to experts' subjective evaluation, fuzzy system is established to aggregate the fuzzy linguistic term of Web performance metrics into a so-called load-weight index that indicates the servers' workload intensity. Based on the load-weight, genetic algorithm with robust searching capabilities will equally redistribute the workload among the servers with the assistance of fuzzy system.