Cloud Resource Schedling Strategy Based on Improved Particle Swarm Optimization

Cloud resource scheduling strategy is the most important technology in cloud computing. In order to solve the problem of being easy to to fall into locally optimal solution, we proposed an improved particle swarm optimization algorithm (IPSO).Coefficient about social and personal cognition are changed according to the times of iteration, which can comply with objective rules much better and avoid falling to locally optimal solution. Simulation results show that IPSO can improve the availability of cloud resources.It has higher global search ability, better fitness, and good application value.