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Aiming at the problem that traditional cluster scheduling models are not efficient enough to meet the needs of users, this paper proposes a classified load balancing scheduling model based on CloudSim. Firstly, construct the index system of task request to build the mathematical model; next, use the improved algorithm based on fuzzy C-means clustering algorithm to classify the request, obtaining the number of classification after determining its initial center and improving its learning ability by BP neural network; then, pre-cluster servers according to the function and use the fuzzy clustering algorithm to classify them according to their processing ability. Finally, the classification scheduling model is simulated under CloudSim. By comparing with other scheduling algorithms in three different scenarios, conclude that the proposed model is more adaptive and efficient and has engineering significance.