Research on Design and Application of Mobile Edge Computing Model Based on SDN

With the rapid development of the mobile Internet and the Internet of Things (IoT), the conventional centralized cloud computing environment is facing severe challenges, such as high latency, and low bandwidth which significantly reduces the user experience for the applications of Virtual Reality (VR), HD Video, etc. Mobile Edge Computing (MEC) architecture can shift several tasks to devices on the edge of the mobile network, decreasing the service time and relieving the flow pressure of the core network. Combining Software Defined Networking (SDN) and MEC, this paper proposes a MEC network model based on SDN and builds test models on physical devices. A set of network testing experiments is carried out to evaluate the performance of the topology. Meanwhile, motivated by the demand for quick processing of surveillance video, an intelligent video processing acceleration application is deployed on the testing platform and cloud computing platform. Under the control of a Floodlight controller, it shows that the MEC scheme proposed in this paper has better performance when carrying latency-sensitive services.