Microservice selection approach for mobile users in edge computing environment

To address the problem of service discontinuity caused by frequent user mobility in mobile edge computing, a microservice selection and deployment strategy was developed by integrating the cloud-edge speedup ratio and the edge gain index (EGI). Firstly, a microservice selection architecture was established based on containers and workflows, and a migration load optimization model incorporating service quality evaluation metrics was formulated. Then, a microservice deployment algorithm based on EGI was designed to achieve low-latency and high-hit-rate deployment. Furthermore, a microservice selection algorithm was proposed based on the cloud-edge speedup model and a dynamic cloud-edge migration strategy to handle cross-domain migration under user mobility. Simulation results demonstrate that the proposed app-roach improves service quality by approximately 23.2%, while reducing energy consumption and latency by 25.4% and 25.1%, respectively, compared to traditional methods.