The Task Scheduler Based on the Improved Particle Swarm Algorithm for the Cloud Computing System

Task scheduling method for cloud computing system is the key steps to achieve its high performance computing,the paper focuses on the low efficiency to propose a new task scheduling method based on improved Particle Swarm Optimization(PSO) algorithm,using the iterative selection operators to add into the particle swarm to finish task scheduling optimization.Improved Particle Swarm Optimization(IPSO),improves algorithm for the capacity of optimization,as far as possible avoiding a local optimization,better effect of convergence task scheduling which time costs.The CloudSim simulation platform is selected for simulation,experimental results show that the algorithm has the advantage of optimization abilities,and takes less time,It can apply to the task schedule optimization for cloud computing problems in the research.