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Aiming at how to better allocate costs and time to complete a task in cloud computing, in this paper, monkey algorithm is introduced into the resource allocation of cloud computing. Aiming at that the monkey algorithm is easy to fall into local optimum with fast convergence speed, chaos algorithm is introduced in the initialization of monkey algorithm to optimize the location. During the climbing process of the algorithm, parameters are introduced into the positioning step and vision distance of the watching process to make the improvement. The improved algorithm has been improved significantly in performance and convergence speed, and the CloudSim simulation platform shows that compared with other intelligent algorithms, the algorithm in this paper has been improved to a certain extent in resource allocation including time, energy consumption as well as resource node throughput and transmission rate, thus it improves the efficiency of cloud computing’s resource allocation.