TASK SCHEDULING IN CLOUD PLATFORMS USING THE BAT-PSO HYBRID APPROACH

Task Scheduling is the process of assigning tasks to different virtual machines over cloud based servers with an aim to optimize the resource utilization for cloud based platforms. Task scheduling is generally a complex task often leading to the solution to an optimization problem. In this paper, a hybrid approach employing the bat and particle swarm optimization (PSO) has been proposed. It has been shown that the proposed approach achieves better results compared to the hybrid of bat and heuristic approach. The performance evaluation parameter has been chosen to be the response time. The proposed system has been simulated on simulated on the CloudSim 3.0. with java in Netbeans.