Research on Load Balancing Method in Cloud Computing

With the development and application of computer technology, cloud computing as a new computing model has become a hot topic in academic research. How to effectively use cluster resources and improve the overall performance of the system have become hot topics and problems in the field of cloud computing. And a reasonable method of load balance is an effective way to solve this problem. Based on the deep study of Shuffled Frog Leading Algorithm, this paper proposes a method of load balance based on improved Shuffled Frog Leaping Algorithm (ISFLA) in cloud computing. Finally, a simulation experiment of the load balance based on improved Shuffled Frog Leaping Algorithm was performed on CloudSim, a simulation platform for cloud computing. Through comparing with the experimental results of other intelligent optimization algorithms, it was found that ISFLA has a better load balance effect and it is feasible.