Observations on Using Genetic Algorithms for Dynamic Load-Balancing
IEEE Transactions on Parallel and Distributed Systems
Agent-Based Grid Load Balancing Using Performance-Driven Task Scheduling
IPDPS '03 Proceedings of the 17th International Symposium on Parallel and Distributed Processing
Rate-Based and Queue-Based Dynamic Load Balancing Algorithms in Distributed Systems
ICPADS '04 Proceedings of the Parallel and Distributed Systems, Tenth International Conference
Self-Organizing Agents for Grid Load Balancing
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Grid load balancing using an echo system of intelligent ants
PDCN'06 Proceedings of the 24th IASTED international conference on Parallel and distributed computing and networks
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A computational grid is a widespread computing environment that provides huge computational power for large-scale distributed applications. Load balancing, has a considerable effect on the grid middleware performance. Current load balancing methods cannot satisfy all necessities for the grid. In this paper, a Multi-level Load Balancing Method (MLBM) is proposed. Cooperation among different levels in this method, removes disadvantages of each level, while satisfy most of load balancing requirements needed. Simulation results indicate that this new mechanism surpasses its predecessors in increasing efficiency and decreasing communication overhead.