Architectural Design and Dynamic Deployment Scheme of Edge Computing Based vCDN

Because of the growing popularity of short videos, VR/AR, big data, IoT and artificial intelligence, there is currently a huge increase in the demand for transmission. It is difficult to manage all real-time, short-term hot data through a traditional CDN alone in terms of storage, computing, and interaction. In order to address the connectivity issues caused by real-time hot content, we propose an overview architecture and a dynamic deployment method for vCDNs based on edge computing. According to the experimental findings, the virtual machine and container-based vCDNs are more flexible than the physical CDN in terms of automatic deployment capabilities and the container based vCDN has the same performance as the physical CDN when configured with the same CDN cache software and hardware configuration. Besides, the evolution suggestions of the edge computing based vCDN are given.