• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
Lü Huazhang, Chen Dan, Fan Bin, Wang Youxiang, Wu Yunxiao. Standardization Progress and Case Analysis of Edge Computing[J]. Journal of Computer Research and Development, 2018, 55(3): 487-511. DOI: 10.7544/issn1000-1239.2018.20170778
Citation: Lü Huazhang, Chen Dan, Fan Bin, Wang Youxiang, Wu Yunxiao. Standardization Progress and Case Analysis of Edge Computing[J]. Journal of Computer Research and Development, 2018, 55(3): 487-511. DOI: 10.7544/issn1000-1239.2018.20170778

Standardization Progress and Case Analysis of Edge Computing

More Information
  • Published Date: February 28, 2018
  • Edge computing is a new network architecture and open platform that integrates network, computing, storage, and application core capabilities on the edge of the network. Edge computing changes the way of traditional centralized cloud computing which moves computing and storage capabilities to the edge of the network. Edge computing can greatly reduce the congestion and burden of core network and transmission network, due to canceling the data backhaul. And it can lower the delay, bring high bandwidth. Also at the same time it can quickly respond to users’ requests and improve service quality. Now, edge computing has become an important enabling technology for the future 5G, and it has been written into 3GPP standard. More and more operators, equipment vendors and chip manufacturers join to construct the edge computing ecological. How to build a unified standardized edge computing platform for future ecological construction is very important. Therefore, this paper focuses on the progress of standardization of the current edge computing. From edge computing architecture was first proposed by ETSI, to edge computing has been listed as the key technology for future 5G development in 3GPP. The approval of projects of the edge computing in CCSA is also included. The introduction of each part has a great deal of analysis and explanation of the standard content. In the end, this paper introduces China Unicom’s edge computing research achievement in recent years, including the important edge computing experimental project, the pilot scheme for future edge computing of China Unicom and the exploration of the network deployment plan of edge computing. We are looking forward to discussing the edge computing commercial cooperation mode with all sectors so as to jointly build the network edge ecology and comprehensively accelerate the vigorous development of 5G services.
  • Related Articles

    [1]Zhang Xiaodong, Zhang Chaokun, Zhao Jijun. State-of-the-Art Survey on Edge Intelligence[J]. Journal of Computer Research and Development, 2023, 60(12): 2749-2769. DOI: 10.7544/issn1000-1239.202220192
    [2]Zhang Xueqing, Liu Yanwei, Liu Jinxia, Han Yanni. An Overview of Federated Learning in Edge Intelligence[J]. Journal of Computer Research and Development, 2023, 60(6): 1276-1295. DOI: 10.7544/issn1000-1239.202111100
    [3]Wang Rui, Qi Jianpeng, Chen Liang, Yang Long. Survey of Collaborative Inference for Edge Intelligence[J]. Journal of Computer Research and Development, 2023, 60(2): 398-414. DOI: 10.7544/issn1000-1239.202110867
    [4]Sun Bing, Liu Yan, Wang Tian, Peng Shaoliang, Wang Guojun, Jia Weijia. Survey on Optimization of Federated Learning Efficiency in Mobile Edge Networks[J]. Journal of Computer Research and Development, 2022, 59(7): 1439-1469. DOI: 10.7544/issn1000-1239.20210119
    [5]Huang Qianyi, Li Zhiyang, Xie Wentao, Zhang Qian. Edge Computing in Smart Homes[J]. Journal of Computer Research and Development, 2020, 57(9): 1800-1809. DOI: 10.7544/issn1000-1239.2020.20200253
    [6]Ning Zhenyu, Zhang Fengwei, Shi Weisong. A Study of Using TEE on Edge Computing[J]. Journal of Computer Research and Development, 2019, 56(7): 1441-1453. DOI: 10.7544/issn1000-1239.2019.20180522
    [7]Shi Weisong, Zhang Xingzhou, Wang Yifan, Zhang Qingyang. Edge Computing: State-of-the-Art and Future Directions[J]. Journal of Computer Research and Development, 2019, 56(1): 69-89. DOI: 10.7544/issn1000-1239.2019.20180760
    [8]Fu Yongquan, Li Dongsheng. Application Driven Network Latency Measurement Analysis and Optimization Techniques Edge Computing Environment: A Survey[J]. Journal of Computer Research and Development, 2018, 55(3): 512-523. DOI: 10.7544/issn1000-1239.2018.20170793
    [9]Zhao Ziming, Liu Fang, Cai Zhiping, Xiao Nong. Edge Computing: Platforms, Applications and Challenges[J]. Journal of Computer Research and Development, 2018, 55(2): 327-337. DOI: 10.7544/issn1000-1239.2018.20170228
    [10]Zhang Shiwen, Li Zhiyong, Chen Shaomiao, and Li Renfa. Dynamic Multi-Objective Optimization Algorithm Based on Ecological Strategy[J]. Journal of Computer Research and Development, 2014, 51(6): 1313-1330.

Catalog

    Article views (3270) PDF downloads (1650) Cited by()

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return