An Edge Gateway Communication Load Balancing Method considering Service Timing Logic in Distribution Area

In order to reduce network congestion and improve the edge layer network access capability and edge gateway data transmission capability, the problem of insufficient communication access network bandwidth resources and unbalanced container communication load caused by massive data edge convergence transmission is solved. Considering the high concurrency of service timing logic and real-time data transmission in service distribution platform area, this paper proposes a communication resource scheduling algorithm based on container architecture under multi-mode transmission. While reducing the real-time data transmission delay, the load capacity of the edge layer communication access network is improved, and the load balancing of the northbound interface multi-module data link is realized. In this paper, the topology structure and data transmission mode of the distributed device monitoring network based on the “end-edge-cloud” architecture are firstly explained, and the related channel parameters are given. Then, in the process of simulation and modeling of communication system, a double-tank equivalent model based on queuing theory is used, and the feedback control method is used to control the transmission system. The experimental simulation results show that the adaptive tracking optimization algorithm as the edge container communication load balancing algorithm can effectively reduce the transmission delay, adapt to the distribution service timing and logic constraints, and have a good load balancing effect.