计算机科学
移动边缘计算
移动云计算
云计算
边缘计算
移动计算
无线接入网
分布式计算
效用计算
计算卸载
网格计算
服务器
计算机网络
基站
移动台
云安全计算
操作系统
网格
数学
几何学
作者
Yuyi Mao,Changsheng You,Jun Zhang,Kaibin Huang,Khaled B. Letaief
标识
DOI:10.1109/comst.2017.2745201
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI