基于演化博弈的边缘资源服务合作机制运行研究
Research on the Operation of Edge Resource Service Cooperation Mechanism Based on Evolutionary Game

本文介绍一种基于演化博弈理论的服务组合收益优化算法。在传统的边缘过程自动化控制系统中，常见一些需要集中寻优、灵活调整输出的算法决策，通常这些算法的决策过程需要在特定的软件系统模块中进行单独配置和求解，其现场的可操作性对于工程师来说并不友好，并且在过程控制过程中，依赖算法的计算模块通常配置于云中央计算单元中，其结果通常需要现场通信方式传递给边缘控制设备，算法处理的实时可靠性受限于通信系统的稳定性，对于边缘过程自动化控制系统的准确性和稳定性都存在潜在的威胁。本文基于对上述问题的考虑，提出一种能够运行在低算力运行时中的组件化资源服务的自组织智能算法，通过对演化稳定性策略的分析，探讨了边缘资源之间合作行为的进化路径。通过符合IEC 61499标准的功能块结构对演化博弈进行组件化封装，通过组件的方式提高在边缘过程控制系统中算法计算的复用性与实时操作性。
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.