A Lightweight Network Edge Service-Aware Method for Edge Networks.

Edge computing is one of the main components of 5 g technology. It is used to adapt to the rapid development of the Internet of things and improve the service quality of the network. The combination of SDN and NFV can improve the flexibility of network service deployment. But at the edge of the network, the change of service will affect the quality of service. Therefore, we need a real-time business change perception system to provide differentiated services to improve the quality of different services. This paper proposes a lightweight service awareness technology based on network edge. This technology is based on the perception of mobile service flow in hierarchical echo state network (ESN). Traffic flow is sensed by discrete echo state network algorithm, and mobile resource scheduling and allocation ability are improved. Finally, the experimental results show that the proposed method can sense the services at the edge of the network, improve the capacity and bandwidth of the network, meet the differentiation of multiple services and QoS.