Abstract
AbstractGrid environment is the collection of independent systems which provide integrated computing facility. In a Grid infrastructure, some systems may be idle, while others are heavily loaded. This leads to an imbalance in load which results in under-utilization of resources, reduced throughput, and high response time. Several load balancing strategies are proposed to avoid the load imbalance. In this paper, the various load balancing models are discussed. The four load balancing models explored in this paper are graph-based, tree-based, agent-based and learning-based. Several load balancing techniques are described and discussed under appropriate category.KeywordsGrid computingLoad balancingMachine learningTree-based modelGraph partitioningSoftware agents
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