• 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
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
Citation: 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

Edge Computing: State-of-the-Art and Future Directions

More Information
  • Published Date: December 31, 2018
  • With the burgeoning of the Internet of everything, the amount of data generated by edge devices increases dramatically, resulting in higher network bandwidth requirements. In the meanwhile, the emergence of novel applications calls for the lower latency of the network. It is an unprecedented challenge to guarantee the quality of service while dealing with a massive amount of data for cloud computing, which has pushed the horizon of edge computing. Edge computing calls for processing the data at the edge of the network and develops rapidly from 2014 as it has the potential to reduce latency and bandwidth charges, address the limitation of computing capability of cloud data center, increase availability as well as protect data privacy and security. This paper mainly discusses three questions about edge computing: where does it come from, what is the current status and where is it going? This paper first sorts out the development process of edge computing and divides it into three periods: technology preparation period, rapid growth period and steady development period. This paper then summarizes seven essential technologies that drive the rapid development of edge computing. After that, six typical applications that have been widely used in edge computing are illustrated. Finally, this paper proposes six open problems that need to be solved urgently in future development.
  • Related Articles

    [1]Chen Yubiao, Li Jianzhong, Li Yingshu. SBS: An Efficient R-Tree Query Algorithm Exploiting the Internal Parallelism of SSDs[J]. Journal of Computer Research and Development, 2020, 57(11): 2404-2418. DOI: 10.7544/issn1000-1239.2020.20190564
    [2]Zhao Xinyi, Huang Xiangdong, Qiao Jialin, Kang Rong, Li Na, Wang Jianmin. A Spatio-Temporal Index Based on Skew Spatial Coding and R-Tree[J]. Journal of Computer Research and Development, 2019, 56(3): 666-676. DOI: 10.7544/issn1000-1239.2019.20170750
    [3]Wu Jiasen and Song Fangmin. Study on R-Calculus[J]. Journal of Computer Research and Development, 2012, 49(4): 833-838.
    [4]Fang Wei, Sun Guangzhong, Wu Chao, and Chen Guoliang. A Parallel Algorithm of Three-Dimensional Fast Fourier Transform[J]. Journal of Computer Research and Development, 2011, 48(3): 440-446.
    [5]Li Xin, Li Fan, Bian Xingbin, Liu Qihe. Answer Set Programming Representation for E-R Model[J]. Journal of Computer Research and Development, 2010, 47(1): 164-173.
    [6]Zhao Xianfeng, Li Ning, and Huang Wei. Reversible R-S Digital Watermarking Using the Subliminal Channel[J]. Journal of Computer Research and Development, 2009, 46(1): 100-107.
    [7]Li Bohan, Hao Zhongxiao. A Decision Algorithm on Judging the Overlap of Nodes for R*Tree Based on Clustering Analysis[J]. Journal of Computer Research and Development, 2008, 45(12): 2154-2161.
    [8]Liu Bing, Yan Heping, Duan Jiangjiao, Wang Wei, and Shi Baile. A Bottom-Up Distance-Based Index Tree for Metric Space[J]. Journal of Computer Research and Development, 2006, 43(9): 1651-1657.
    [9]Jiang Xiajun, Wu Huizhong, and Li Weiqing. R-tree Method of Matching Algorithm for Data Distribution Management[J]. Journal of Computer Research and Development, 2006, 43(2): 362-367.
    [10]Chi Lihua, Liu jie, and Hu Qingfeng. Evaluation and Test for Scalability of Numerical Parallel Computation[J]. Journal of Computer Research and Development, 2005, 42(6): 1073-1078.
  • Cited by

    Periodical cited type(1)

    1. 陈玉标,李建中,李英姝. SBS:基于固态盘内部并行性的R-树高效查询算法. 计算机研究与发展. 2020(11): 2404-2418 . 本站查看

    Other cited types(6)

Catalog

    Article views (10631) PDF downloads (7334) Cited by(7)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return