Intelligent Edge Computing Gateway Implementation Method based on Microservice Architecture

In the process of data processing, the implementation method of intelligent edge computing gateway takes too long to add device reading request. In order to solve the above problems, an implementation method of intelligent edge computing gateway based on micro service architecture is designed. The concept of genetic operator is introduced to extract the link operation state at the previous time and evaluate the communication link quality. Extract the micro message queue based on the micro service architecture, reorganize the micro service components under the condition of standardized interface, identify the source address and target address in the data, optimize the service driven routing algorithm, and design the implementation method of intelligent edge computing gateway with the matching condition as the judgment standard. The experimental results show that the time-consuming of adding device reading request between the intelligent edge computing gateway implementation method designed this time and the other three intelligent edge computing gateway implementation methods is 233.14 ms, 277.24 ms, 276.01 ms and 263.66 ms respectively, which indicates that the intelligent edge computing gateway implementation method designed this time can provide more perfect functions in terms of time-consuming under the condition of micro service architecture.