Abstract: Abstract: The task unloading of mobile edge computing will be interfered by adjacent servers， which makes it difficult to accurately unload computing tasks to network edge servers. Therefore， a task unloading method of mobile edge computing based on feasible point tracking continuous approximation method is designed. This method firstly establishes the dependency model of mobile edge computing tasks， and analyzes the unloading requirements of mobile edge computing tasks. Secondly， considering the task unloading delay and energy consumption， the task unloading model is established based on the task dependency model. Finally， the feasible point tracking continuous convex approximation method is used to transform the problem of solving the unloading model into a linear relaxation problem. Iterative filter functions are introduced to track the feasible points to avoid interference from adjacent servers. The relaxation variables are continuously convex approximated to obtain the optimal solution of the task unloading model， so as to realize the unloading of mobile edge computing tasks. The experimental results show that the proposed method has low load， low energy consumption and high unloading accuracy.

Key words: Key words: feasible point tracking continuous convex approximation method, mobile edge computing, task dependency model, linear relaxation problem, task unloading