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In order to shorten task waiting time and improve the execution efficiency of task scheduling system in cloud computing, a task scheduling model based on queuing system in cloud environment is proposed. The system steady state distribution and condition stochastic decomposition results in the model are analyzed, the stochastic decomposition of the steady-state queue length and the steady-state waiting time are given, a numerical example is given to accurately find the relationship between service rate and expected queue length, expected waiting time, and other performance indicators. Through the simulation of the cloud task scheduling system, the experimental results show that the model can quickly complete the scheduling of cloud tasks, and improve the average utilization of virtual machine resources.