Research on the Task Scheduling Algorithm for Cloud Computing on the Basis of Particle Swarm Optimization

This paper explores the task scheduling algorithm for cloud computing on the basis of Particle Swarm Optimization (PSO). Based on task scheduling problems of the cloud computing, first of all, this paper detailed introduction to cloud computing, task scheduling of cloud computing, particle swarm optimization algorithm and ant colony optimization algorithm. On this basis of the above, task scheduling algorithm based on particle swarm optimization and ant colony optimization for cloud computing (PSOACO) is presented in this paper. The scheduling algorithm absorbs the fast convergence ability of particle swarm optimization algorithm and the optimization ability of ant colony algorithm, and considers the cost factor. The scheduling algorithm improves the speed of the cloud computing task scheduling and optimization performance. Finally, we evaluate the task scheduling algorithm in cloud environment which was simulated by C1oudSim. In the meantime, the result of the first experiment and the second experiment show that the scheduling algorithm can not only quickly find the optimal solution, but also minimize the processing time and costs of all tasks.