| Abstract |
Aiming at the problem of low efficiency of services deployment of cloud computing platform by using exhaustive search algorithm, and in order to obtain a better services deployment scheme, a novel cloud computing services deployment optimization method, based on improved particle swarm optimization algorithm, is proposed. Firstly, it analyzes the deployment problem of the cloud computing service, converts the cloud computing service deployment problem into a multi-objective combination optimization problem and establishes a corresponding mathematical model. Then it uses the particle swarm algorithm with a strong global search ability to solve the mathematical model and improves the problem of slow convergence and premature convergence of the standard particle swarm algorithm. Finally, it verifies the feasibility of the simulation test. The experimental results show that the proposed method can find the optimal cloud computing service deployment scheme quickly and provide a valuable reference for cloud computing service providers. © 2020 IEEE. |
