A resource schedule method for cloud computing based on chaos particle swarm optimization algorithm
Lei Zheng1, 2, Defa Hu3
1School of Information Engineering, Shandong Youth University of Political Science, Jinan 250103, Shandong, China
2Key Laboratory of Information Security and Intelligent Control in Universities of Shandong, Jinan 250103, Shandong, China
3School of Computer and Information Engineering, Hunan University of Commerce, Changsha 410205, Hunan, China
In order to improve the cloud computing resource scheduling efficiency, this paper proposed a method for cloud computing resource schedule based on chaos particle swarm optimization algorithm. Firstly, the resource scheduling options were taken as the position of the particle, and resource load balancing was taken as the objective function. Then the optimal resource scheduling solution was obtained by sharing information and the exchange of particles, while chaos mechanism was introduced to guarantee the diversity of particle swarm to prevent appearing premature convergence and local optimal solution. The simulation test was carried out in CloudSim platform, and the results show that the proposed method can quickly find the optimal scheduling solution for cloud computing resources and improve the efficiency of resource, and the method has better practicability and feasibility.