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The task scheduling problem in fog computing platform is a NP- problem which can"t get the exact solution in polynomial time complexity. Based on the process of task scheduling of fog computing and the mathematical model of task scheduling of fog computing platform, this paper uses the improved artificial bee colony algorithm to map task scheduling to the process of bee colony searching for honey source, introduces chaos thought in the initial stage of population, improves the defect of artificial bee colony algorithm, expands the range of bee colony search, and avoids falling into local optimal solution. The experimental results show that the improved artificial bee colony algorithm has faster convergence speed, the corresponding task scheduling strategy of the algorithm solution, and the higher overall performance of task processing. It shows that the improved artificial bee colony algorithm studied in this paper has achieved the purpose of improving the utilization rate of fog computing resources and the efficiency of fog computing task processing.