Paper Title
Virtual Machine Optimization in Cloud Computing Using Swarm Intelligence Algorithms: A Review

Abstract
Need of cloud computing is growing regular, but issue with cloud computing is management of load balancing issues. Different load balancing techniques are in existences that are capable to manage the quality of services over cloud. These mechanisms reduce the probability of overload and downtime issues. Present research paper is discussing mechanism and issues related to load balancing. Researchers using more traditional methods have conducted research with the goal of improving load balancing in cloud computing as well as the dynamic deployment of virtual machines. They applied a strategy that is known as the particle swarm optimization approach. The outcomes of the simulation revealed that the approach that was recommended supplied an ideal solution for scheduling of tasks, the equal division of work among virtual machines, and the placement of jobs on appropriate physical machine. Keywords - Load Balancing, Cloud computing, Performance, Resource management, Optimization approach.