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In order to alleviate the pressure of the central server and formulate a reasonable scheduling scheme, a fine-grained task scheduling method based on edge computing is proposed based on hybrid ant colony optimization algorithm. Describe the scheduling problem of edge computing tasks, and set assumptions to simplify the difficulty of scheduling. By calculating the priority index of tasks, the task queue is formed after being arranged in the order from large to small. Analyze the performance characteristics of edge server and clarify the processing capacity of edge server. The multi-objective function of energy consumption and delay is constructed, and some constraints are set. The multi-objective function is solved by hybrid ant colony optimization algorithm to complete the design of fine-grained task scheduling scheme for edge computing. The results show that the proposed method has less energy consumption and delay, which shows that the performance of the proposed method is better and the scheduling scheme is more reasonable.