边缘计算现状与展望-ComputerScience-WayneStateUniversity.PDF

计 算 机 研 究 与 发 展 DOI:10.7544/issn1000-1239.2019.********

Journal of Computer Research and Development 卷(期):起止页,年

边缘计算：现状与展望

1 2,3 2,3 4

施巍松 张星洲 王一帆 张庆阳

1 (韦恩州立大学计算机科学系 美国底特律 48202 )

2 (中国科学院计算技术研究所 北京 100190)

3 (中国科学院大学 北京 100190)

4 (安徽大学计算机科学与技术学院 合肥 230601 )

1 (weisong@ )

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

2,3 2,3 4

1

Shi Weisong ，Zhang Xingzhou ，Wang Yifan ，and Zhang Qingyang

1 (Department of Computer Science, Wayne State University, Detroit, US 48202 )

2 (Institute of Computing Technology, Chinese Academy of Science, Beijing 100190 )

3 (University of Chinese Academy of Science, Beijing 100190)

4 (School of Computer Science and Technology, Anhui University, Hefei 230601 )

Abstract 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