Research on the Operation of Edge Resource Service Cooperation Mechanism Based on Evolutionary Game

Abstract

This paper introduces a service portfolio revenue optimization algorithm based on evolutionary game theory. In the traditional edge process automation control system, it is common to make algorithm decisions that require centralized optimization and flexible adjustment of output. Usually, the decision-making process of these algorithms needs to be separately configured and solved in specific software system modules. Its onsite operability is not friendly to engineers, and in the process control process, the calculation modules that rely on algorithms are usually configured in the cloud central computing unit. The results usually need to be transmitted to the edge control equipment by field communication. The real-time reliability of the algorithm processing is limited by the stability of the communication system, which has potential threats to the accuracy and stability of the edge process automation control system. Based on the consideration of the above problems, this paper proposes a self-organizing intelligent algorithm for component-based resource services that can run in low computational power runtime. Through the analysis of evolutionary stability strategy, the evolutionary path of cooperative behavior between edge resources is discussed. The evolutionary game is encapsulated by components through the function block structure conforming to IEC 61499 standard, and the reusability and real-time operability of algorithm calculation in the edge process control system are improved by components.