Key Technologies and Application of Edge Computing

doi:10.3969/j.issn.1673-5188.2017.02.004

ZTE Communications ›› 2017, Vol. 15 ›› Issue (2): 26-34.DOI: 10.3969/j.issn.1673-5188.2017.02.004

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Key Technologies and Application of Edge Computing

TU Yaofeng, DONG Zhenjiang, YANG Hongzhang

Nanjing R&D Center, ZTE Corporation, Nanjing 210021, China

Received:2017-02-10 Online:2017-04-25 Published:2019-12-24
About author:TU Yaofeng (tu.yaofeng@zte.com.cn) received his master’s degree from Nanjing University of Aeronautics and Astronautics, China. He is a deputy director of the Cloud Computing & IT Institute of ZTE Corporation. His research interests include telecommunication services, cloud computing products, big data, and artificial intelligence.|Dong Zhenjiang (dong.zhenjiang@zte.com.cn) received his master’s degree from Harbin Institute of Technology, China. He is a deputy director of the Cloud Computing & IT Institute of ZTE Corporation. His research interests include cloud computing, artificial intelligence and media processing, and mobile Internet and security.|YANG Hongzhang (yang.hongzhang@zte.com.cn) received his master’s degree in computing technology from Chinese Academy of Sciences, China. He is a technology pre-research engineer with the Cloud Computing & IT Institute of ZTE Corporation. His research interests include cloud computing, big data, and distributed storage system.

Abstract

Abstract:

Cloud computing faces a series of challenges, such as insufficient bandwidth, unsatisfactory real-time, privacy protection, and energy consumption. To overcome the challenges, edge computing emerges. Edge computing refers to a process where the open platform that converges the core capabilities of networks, computing, storage, and applications provides intelligent services at the network edge near the source of the objects or data to meet the critical requirements for agile connection, real-time services, data optimization, application intelligence, security and privacy protection of industry digitization. Edge computing consists of three elements: edge, computing, and intelligence. Edge computing and the Internet of Things (IoT) mutually create, and edge computing and cloud computing complement each other. In the architecture of edge computing, resources are distributed to the edge nodes, and therefore the storage system is near users while the computation function is near data. In this way, the stress on the backbone network can be lessened. With this architecture, the existing key technologies for computation, networks, and storage will change significantly. ZTE’s edge computing solutions can ensure the service quality of operators and greatly enhance the experience of mobile users.

Key words: edge computing, cloud computing, IoT

TU Yaofeng, DONG Zhenjiang, YANG Hongzhang. Key Technologies and Application of Edge Computing[J]. ZTE Communications, 2017, 15(2): 26-34.

Figures/Tables 5

Figure 1. Edge computing architecture.

Figure 2. Key computing technologies.

Figure 3. Service application requirements on mobile networks.

Figure 4. 5G MEC solution.

Figure 5. MEC CDN Solution.

References 15

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