Real-Time Data Processing Strategy Based On Edge Computing In 5G Network

With the characteristics of high speed, large capacity, low delay and high reliability, 5G network provides unprecedented possibilities for data transmission and processing. At the same time, as a new computing mode, Edge Computing (EC) significantly reduces the data transmission delay and improves the processing efficiency by pushing the computing task to the edge of the network. This paper proposes a real-time data processing architecture based on 5G network and EC, which realizes real-time data acquisition, transmission, processing, storage and feedback through data acquisition layer, data transmission layer, EC layer, data center and application and service layer. This architecture not only reduces the data transmission delay, improves the processing efficiency, but also enhances the data security. In particular, this paper adopts dynamic resource allocation and data hierarchical processing strategy in data processing flow to optimize processing efficiency and energy consumption ratio. The experimental results show that the architecture proposed in this study has significant advantages in reducing delay and improving efficiency when dealing with large amounts of data. Compared with the traditional data processing methods, this research framework performs well in processing speed, especially when dealing with a large number of data, which can meet the needs of real-time data processing more effectively. In addition, by adopting advanced security mechanism, this research architecture shows good data security in simulated attack scenarios. This study not only provides valuable reference for the technical development in the field of real-time data processing, but also provides technical support for intelligent manufacturing, intelligent transportation, telemedicine and other fields.