On the Research of Edge Computing Integrated Sd-Wan Network Management Mechanisms(3/3)

With the rapid development of mobile, cloud, big data and broadband network technologies, the increasing of networking applications has driven the era of Internet of Things (IoT). The IoT system included mobility, storage, processing and analysis of data, the existing cloud services has been unable to satisfy the large and scattered services. In addition, traditional telecom network configuration and management methods cannot meet the requirements of real-time data processing and service management. In order to solve the bottleneck of traditional networks, the emergence of Software Defined Network (SDN) and Network Functions Virtualization (NFV) technology turns the complicated network architecture into a virtual and programmable network. The SDN/NFV not only brings significant change the development of ICT, but also spawns the combination of Edge Computing, SD-WAN and even Machine Learning. The development of these emerging technologies also forms the basis for the future development of smart city networking applications for the 5G micro-operators.This project is over three years. In the first year, the goal is utilizing SDN/NFV technologies to quickly inspect the important traffic information and the machine learning technology is used to classify the traffic flow that provide data pre-processing, reduce traffic flow and enhance communications security in the edge network. The second year continues the results of the first year. To control and manage the traffic changes on the edge network, provide On-Demand edge computing services and match the SD-WAN WAN technology to decide the optimal transmission path and transmit the real-time traffic of the external network to improve the QoS and transmission efficiency. The third year will integrate the results of the first and second year that focus on the Cloudy-Edge collaborative operation and automated management. Study on resource sharing among micro data centers across different edge networks and realize the cloud-fog computing architecture to automate service management in future 5G operator micro-telecom services. In addition, the project host studied the network service management technology for many years, received awards in many international competitions, published two hundred of papers, and has more than 20 patents. Since the beginning of SDN/OpenFlow research in 2009, the team has a lot of experience in implementation of cooperation plans between industry and school. The results have been transferred to vendors. They also won a Poster Award of Excellence issued by Ministry of Science and Technology. The team issued a bug report of the Controller Ryu confirmed by NTT and corrected in version 3.7, and also obtained twice champion in 2015 and 2017 Communications Contest of SDN Innovative Application. It is obvious that the host’s research ability and achievement has been affirmed by industrial circles.