Study On Service Architecture Method Of Expressway Emergency Deduction System

In the context of the “human-machine collaboration-oriented emergency response technology sub-project” in the “Hong Kong-Zhuhai-Macao Bridge Intelligent Operation and Maintenance Technology Integration Application Project”,to construct an emergency response technology system for human-machine collaboration and rapid response,we build a set of service architecture methods for expressway emergency deduction system.Including system service design,microservice path dynamic selection method and microservice deployment optimization method.Among them,microservice path selection and microservice deployment optimization run under the designed service system.The result of microservice path selection is the object of service deployment optimization methods.The three complement each other and provide assistances for the development and operation of the highway emergency deduction system.First,the service design of the expressway emergency deduction system is carried out.Based on the analysis of the system requirements and the current expressway emergency management system,the service function framework of the expressway emergency deduction system is constructed,and the services of the system are divided and then combined to form the service function chains.Then,we complete the service design of the highway emergency avoidance system.Second,we design a microservice path selection method based on the Viterbi algorithm.Under a certain service instance deployment plan,weighted Qo S is used as a service evaluation method to achieve fast,the algorithm can find the best quality of the service path for each service functional chain dynamically,fast and stably.Third,we design a microservice deployment optimization method oriented to the result of service path selection.The service deployment optimization problem of expressway emergency deduction is defined as a dual-objective optimization problem.The optimization goal is to minimize the difference coefficient of service instance usage frequency and average service response time of the simulation results of microservice path selection,and the decision space is the service deployment plan.A genetic algorithm for this problem is designed to search the frontier of Pareto and obtain the optimal service deployment plan.Finally,based on the real environment of the service architecture of the Hong KongZhuhai-Macao Bridge emergency deduction system,the parameters of the simulation test are set to verify the system’s microservice path selection and microservice deployment optimization method.The results show that in the service architecture method proposed in this paper,the microservice path selection algorithm can efficiently and stably search for the optimal service path;the microservice deployment optimization method can search for the optimal set of deployment schemes.