Improved Industrial Internet Edge Computing Task Unloading Strategy

With the rapid development of the industrial Internet, the number of industrial devices has increased dramatically, generating a huge amount of data, which puts forward higher requirements for real-time processing. The traditional cloud computing model faces latency and bandwidth bottlenecks in processing real-time data in industrial Internet, and edge computing emerges. This paper focuses on the edge computing task offloading strategy in the industrial Internet environment to solve the problems caused by the uneven distribution of computing resources and the complexity of task offloading decision. In this paper, for the problem of edge computing task offloading in the industrial Internet environment, a link performance-aware task offloading transmission path algorithm is proposed, and the ITGO algorithm is improved. Experimental results show that the algorithm can effectively reduce the task transmission delay and improve the overall throughput and stability of the system under high load environment.