一种基于云边协同的数据访问研究

loud edge collaboration, as a new computing model of collaborative cloud computing and edge computing, is expected to provide an effective solution at the moment of the explosive growth of Internet of Things data. In which, it is a challenge to manage the widely distributed edge infrastructure so that users can access data more easily. This paper studies the partition and grouping of edge infrastructure, and proposes a delay-aware edge node networking algorithm to divide edge nodes with short mutual delay into the same area to form resource sharing. Based on this architecture, the user\'s data access process is designed to route the user\'s data request to the nearest node that can process the request. Finally, it is analyzed by experiment.