Abstract
In order to optimize resources scheduling of cloud computing and to improve the utilization ratio of the resource as well as guarantee application quality of service, the dynamic resources scheduling algorithm basing on improved PSO has been designed and implemented after the study on the Resources Scheduling system of cloud computing . Firstly, the main idea of improved PSO is to extend Particle Swarm Algorithm to the interacting swarms model by cooperative Models. Secondly, a comprehensive model has been designed and implemented in consideration of the amount of resources, each join points’ performance and current load distribution. Finally, the result of the experiment indicates that the improved PSO can effectively reduce the number of virtual machine migration and the number of physical nodes use, the scheduling system can improve the efficiency of dispatching resource in the Cloud Computing system.
