Abstract: Cloud-native edge computing systems support unified container cluster management across cloud and edge environments. The unstable cloud-edge network makes offline autonomy a critical research focus in this field; however, the academic community currently lacks an analysis of the technical challenges it faces and a systematic review of the current technological landscape. Firstly, this paper elaborates on the typical architecture and components of cloud-native edge computing systems analyzes and proposes three key issues that need to be addressed in offline autonomy scenarios: offline node status determination, recovery after offline node restarts, and cloud-edge synchronization after node reconnection. Subsequently, it analyzes different offline autonomy technologies employed by typical cloud-edge systems to tackle these issues and designs experiments to verify their essential functionalities and performance advantages. Finally, it discusses future research directions for offline autonomy technologies.

Key words: cloud-native, edge computing, container orchestration, offline autonomy