LOAD BALANCING IN CLOUD COMPUTING USING ANT COLONY OPTIMIZATION

In cloud computing, several resources are available which process incoming requests. Because of random appearance of requests for task execution several virtual machines are overloaded and several virtual machines are under loaded or idle for task processing. We can improve the performance by making sure all the resources available in the cloud are utilized using a good load balancing policy. Cloud Load Balancing is an NP-hard problem and many meta-heuristic algorithms have been proposed to solve it. In this paper, a cloud load balancing policy Ant Colony Optimization (ACO) inspired by Ant Systems is introduced. The aim is to reduce the makespan of a given tasks. ACO algorithm has been simulated using Cloudsim toolkit. Results show that Cloud Load Balancing based on ACO performs better.