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Job scheduling is the core technology of cloud computing, in order to obtain good scheduling results, a new job scheduling method in cloud computing based on multi-swarm optimization algorithm with cultural algorithm is proposed in this paper. Firstly, The mathematical model is constructed for cloud scheduling problem, and then with the help of cultural algorithm model, particle swarm algorithm consists of the belief space while artificial fish swarm algorithm consists of group space, their parallel evolution and promote each other to solve the job scheduling mathematical model, finally, the simulation experiment is carried out to test the performance of the algorithm. The results show that, the proposed algorithm has fastened convergence speed and can obtain a better job scheduling scheme of cloud computing, and greatly shorten the work time, so it has a certain practical value.