电信科学 ›› 2018, Vol. 34 ›› Issue (1): 87-101.doi: 10.11959/j.issn.1000-0801.2018011
所属专题: 边缘计算
李子姝,谢人超,孙礼,黄韬
修回日期:
2017-11-14
出版日期:
2018-01-01
发布日期:
2018-02-05
作者简介:
李子姝(1994-),女,北京邮电大学未来网络理论与应用实验室硕士生,主要研究方向为5G网络、移动边缘计算等。|谢人超(1984-),男,北京邮电大学未来网络理论与应用实验室副教授、硕士生导师,主要研究方向为信息中心网络、内容分发网络、移动网络内容分发技术等。|孙礼(1959-),男,北京邮电大学未来网络理论与应用实验室副教授、硕士生导师,主要研究方向为宽带通信网络、无线接入技术、通信网络交换技术等。|黄韬(1980-),男,北京邮电大学未来网络理论与应用实验室教授、博士生导师,主要研究方向为新型网络体系架构、内容分发网络、软件定义网络等。
基金资助:
Zishu LI,Renchao XIE,Li SUN,Tao HUANG
Revised:
2017-11-14
Online:
2018-01-01
Published:
2018-02-05
Supported by:
摘要:
移动边缘计算(MEC)技术将IT服务环境和云计算技术在网络边缘相结合,提高边缘网络的计算和存储能力,减少网络操作和服务交付时延,提升用户服务质量体验,因此受到了广泛关注,并且已经作为关键技术被纳入5G标准。首先介绍了MEC的基本概念、参考架构和技术优势,然后从学术界、产业界和标准制定3个角度出发概括了MEC的研究现状,随后详细介绍了MEC的关键技术、应用场景以及具体的部署方式,最后对MEC的移动性、安全和计费以及隐私保护等现存问题进行了归纳和展望。
中图分类号:
李子姝,谢人超,孙礼,黄韬. 移动边缘计算综述[J]. 电信科学, 2018, 34(1): 87-101.
Zishu LI,Renchao XIE,Li SUN,Tao HUANG. A survey of mobile edge computing[J]. Telecommunications Science, 2018, 34(1): 87-101.
表1
MEC、微云和雾计算的比较"
条目 | 发起者 | 部署位置 | 主要驱动力及应用场景 | 是否支持边缘应用感知 | 移动性和不同边缘节点上相同应用的实时交互的支持 |
MEC | 诺基亚,华为, IBM,英特尔,NTT DoCoMo,沃达丰 | 位于终端和数据中心之间,可以和接入点、基站、流量汇聚点、网关等组件共址 | 主要致力于为应用降低时延,适合物联网、车辆网、视频加速、AR/VR等多种应用场景 | 支持,特别支持对无线接入部分(如可用带宽)的感知 | 目前只提供终端从一个边缘节点移动到另一个边缘节点情况下的移动性管理支持 |
微云 | 美国卡耐基梅隆大学,英特尔,华为,沃达丰 | 位于终端和数据中心之间,可以和接入点、基站、流量汇聚点、网关等组件共址;还可以直接运行在车辆、飞机等终端上 | 主要从触觉互联网获得灵感,同样适用于物联网 | 本身不支持,但是支持该功能作为独立模块在微云本身之上进行扩展 | 目前只提供虚拟机映像从一个边缘节点到另一个离终端更近的边缘节点的切换的支持 |
雾计算 | 思科 | 位于终端和数据中心之间,可以和接入点、基站、流量汇聚点、网关等组件共址 | 针对需要分布式计算和存储的物联网场景设计 | 支持 | 完全支持雾节点之间的分布式应用之间的通信(例如智能交通灯之间的通信) |
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