A Survey on Mobile Edge Computing: The Communication Perspective

被引:2972
作者
Mao, Yuyi [1 ]
You, Changsheng [2 ]
Zhang, Jun [1 ]
Huang, Kaibin [2 ]
Letaief, Khaled B. [1 ,3 ]
机构
[1] Hong Kong Univ Sci & Technol, Dept Elect & Comp Engn, Hong Kong, Hong Kong, Peoples R China
[2] Univ Hong Kong, Dept Elect & Elect Engn, Hong Kong, Hong Kong, Peoples R China
[3] Hamad bin Khalifa Univ, Doha, Qatar
关键词
Mobile edge computing; fog computing; mobile cloud computing; computation offloading; resource management; green computing; TO-DEVICE COMMUNICATION; RESOURCE-ALLOCATION; SERVICE MIGRATION; CELLULAR NETWORKS; CLOUD; COMPUTATION; MANAGEMENT; RADIO; OPTIMIZATION; ARCHITECTURE;
D O I
10.1109/COMST.2017.2745201
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Driven by the visions of Internet of Things and 5G communications, recent years have seen a paradigm shift in mobile computing, from the centralized mobile cloud computing toward mobile edge computing (MEC). The main feature of MEC is to push mobile computing, network control and storage to the network edges (e.g., base stations and access points) so as to enable computation-intensive and latency-critical applications at the resource-limited mobile devices. MEC promises dramatic reduction in latency and mobile energy consumption, tackling the key challenges for materializing 5G vision. The promised gains of MEC have motivated extensive efforts in both academia and industry on developing the technology. A main thrust of MEC research is to seamlessly merge the two disciplines of wireless communications and mobile computing, resulting in a wide-range of new designs ranging from techniques for computation offloading to network architectures. This paper provides a comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management. We also discuss a set of issues, challenges, and future research directions for MEC research, including MEC system deployment, cache-enabled MEC, mobility management for MEC, green MEC, as well as privacy-aware MEC. Advancements in these directions will facilitate the transformation of MEC from theory to practice. Finally, we introduce recent standardization efforts on MEC as well as some typical MEC application scenarios.
引用
收藏
页码:2322 / 2358
页数:37
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