A Cloud Computing Resource Scheduling Method Based on Particle Swarm Optimization and Ant Colony Optimization

Abstract

Cloud computing system needs to process a large amount of data and has arduous tasks. An important question in cloud computing research is how to scheduling the resource rationally in this vast system. This paper presents an algorithm of resource scheduling combining Particle Swarm Optimization and Ant Colony Optimization. Firstly, get a good initial solution quickly through PSO algorithm, then ACO use the initial solution to determine the generation of initial pheromone distribution which is used to calculate the optimal solution through iteration. By experiment, the scheduling algorithm which combines PSO and ACO is better than both of the algorithms based on PSO or ACO.