In order to solve the problem of network task unloading in edge computing, the key technologies of mobile edge are studied. Design a distributed architecture for edge node computing, referencing quantum particle swarm optimization algorithm and container technology, to form a task offloading optimization strategy based on edge gateway architecture; Conduct simulation experiments on the optimization strategy, analyze task offloading latency and energy consumption by changing the scale and size of computing tasks. The results show that this strategy can effectively reduce task offloading latency and energy consumption, achieve full utilization of edge node resources, and achieve good resource adaptation effect.