Edge Computing：Review and Application Research on New Computing Paradigm

• Main Author: ZHENG Fengbin, ZHU Dongwei, ZANG Wenqian, YANG Jinlin, ZHU Guanghui
• Format: Article
• Language: zho
• Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2020-04-01
• Series: Jisuanji kexue yu tansuo
• Subjects: edge computing; mobile edge computing (mec) architecture; computation offloading; intelligent nodes; edge caching
• Online Access: http://fcst.ceaj.org/CN/abstract/abstract2158.shtml

The rapid development of science and technology has made the concept of the Internet of everything no longer just appear in people??s mind. With the rapid growth number of smart devices accessing to the wireless network, the amount of edge data has reached the ZB level, which puts tremendous pressure on the core network bandwidth; at the same time, the emergence of many emerging applications such as driverless, location recognition, augmented reality, virtual reality, etc. puts higher demands on network delay, jitter and data security. Traditional cloud computing can no longer meet the requirements, so edge computing (EC) came into being. Edge computing provides lightweight cloud computing and caching capabilities at the edge of networks. In this survey, an exhaustive review on the state-of-the-art research efforts on edge computing is made. First, the concepts of edge computing and cloud computing are summarized, the advantages of edge computing are compared and analyzed, the inevitability and trend of the development of edge computing are pointed out. Then a comprehensive overview of typical edge computing architectures and platforms is presented, and typical application cases in edge computing such as network performance optimization, video caching, shopping cart view refresh and Web video live broadcast are discussed. Finally, from the aspects of edge computing service management, application mobility management, computing resource management and data management, this paper looks forward to the open research challenges and future development trends of edge computing, hoping to bring inspiration to researchers engaged in edge computing.