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EFFICIENT LOAD BALANCING USING ANT COLONY OPTIMIZATION

Workload and resource management are two essential functions provided in the service level of a Grid software infrastructure. Consistently, efficient load balancing algorithms are fundamentally important to improve the global throughput of these environments. Although previous works show that, ant colony algorithm works well for load balancing, the cost is a very important factor in this subject. In this paper, a grid load balancing algorithm is proposed by using an ant colony optimization which is able to consider shortest path, type of resource, and running speed of resource. The experimental results show that the proposed algorithm by using this ant colony optimization can reduce the cost of load balancing in comparison with standard algorithm DASUD.