An Upgraded Algorithm of Resource Scheduling using PSO and SA in Cloud Computing
Cloud computing is a subscription-based service whose primary benefit is application scalability which allows real-time provisioning of resources to meet application requirements. Scheduling is the most prominent issue in cloud computing. Generally the goal of scheduling is to properly dispatch parallel jobs to slave node machines according to different scheduling policies. In this paper, previously existing algorithms i.e. Particle Swarm Optimization (PSO), Improved Particle Swarm Optimization (IPSO), Simulated Annealing (SA) Algorithm and hybrid particle swarm optimization-simulated annealing based on utilization time are studied which were proposed to handle problems posed by network properties between user and resources.