摘要: In order to solve the problem that the existing microservice instances cannot meet the service resource requirements of the sensor device after the configuration of the sensor device is modified by Communication Power Supply and C... 展开 In order to solve the problem that the existing microservice instances cannot meet the service resource requirements of the sensor device after the configuration of the sensor device is modified by Communication Power Supply and Computer Room Environment Monitoring Platform (CPS&CREMP), this paper proposes an intelligent optimization method of microservice redeployment for CPS&CREMP. This method takes minimizing the redeployment cost of microservice instances as the optimization goal, and it considers not only the addition and deletion of microservice instances, but also the switching operation of the binding relationship between sensor devices and microservice instances. Even if the configuration files of a large number of sensor devices are modified, the CPS&CREMP can still run with high quality by performing a series of redeployment operations on the microservice instances. In order to achieve this goal, this paper designs an optimization design algorithm for microservice instance redeployment solution based on an improved ant colony algorithm, and uses Kubernetes to build a CPS&CREMP based on edge computing. In the real experimental scene, the optimization design algorithm is tested to verify its effectiveness. 收起