An Improved Analysis of PSO in Scheduling With Virtualization through Internet-Cloud Computing

Nowadays scheduling problems are raised in areas like industry, academic, health care, production and manufacturing areas and in private sectors also. This paper gives overview about the scheduling problems solved by using particle swarm optimization. By reviewing through different author papers, it can be seen that particle swarm optimization gives better performance in terms of time, efficiency and balanced workload, etc. The Cloud computing has become the fast spread in the field of computing, research and industry in the last few years. There are new possibilities to build applications and provide various services to the end user by virtualization through the internet. Task scheduling is the most significant matter in the cloud computing because the user has to pay for resource using on the basis of time, which acts to distribute the load evenly among the system resources by maximizing utilization and reducing task execution time. Scheduling problem for user requests in cloud computing environment is not possible complete. This problem is usually solved by using heuristic methods in order to reduce to polynomial complexity. The goal of this paper is (1) to minimize the total cost of the system, (2) satisfy QOS (Quality of Service) constraints for users