Research on cloud computing schedule based on improved hybrid PSO
Yang Xiaoguang, Tingbin Chen, Qisong Zhang · 2013
In the cloud computing environment, one of the hot spot of researches in cloud computing is how to accomplish the service request in numerous running tasks. This paper puts forward an improved hybrid particle swarm optimization, making the particle swarm algorithm as the main level algorithm and the improved ant colony algorithm as the secondary level algorithm. The algorithm uses the main level algorithm to generate the initial pheromone distribution and utilizes the secondary algorithm that max-min ant colony algorithm to obtain the best solution. Finally, the availability and advantage of the proposed algorithm can be tested through the simulation experiment.