5G application performance optimization based on edge microservices live migration
Junlang Cui, Tao Zhang, Nian Liu, Mengyuan Pan, Runzhu Wang · 2023
As the current situation that application offloading has not yet been widely used in 5G networks, this paper proposes a performance optimization technology for 5G User Equipment (UE) based on edge microservices live migration. If UE switches quickly between multiple 5G base stations, the edge microservice will actively migrate to the closest edge server, so as to provide continuous services. This technology solves the problem of maintaining UE service continuity after edge microservice migration. And the whole process only makes minor modifications to 5G core network functions, without the active participation of UE. The prototype test results show that this technology can be effectively compatible with existing 5G standard specifications, maintain the continuity of access to UE TCP connection type services, and improve average service access performance of UE by 12%, approximately.