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| 移动边缘网络中计算迁移与内容缓存研究综述 |
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张开元1,2, 桂小林1,2, 任德旺1,2, 李敬1,2, 吴杰1,2, 任东胜1,2
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1.西安交通大学 电子与信息工程学院, 陕西 西安 710049;2.陕西省计算机网络重点实验室(西安交通大学), 陕西 西安 710049
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| 摘要: |
| 随着移动设备数量的爆炸性增长以及许多新兴应用的出现，移动网络的流量呈指数级增长.传统的集中式网络架构由于回程链路负载过重、时延较长，无法满足移动用户的需求.因此，提出了将网络能力从核心网开放至边缘网的新体系结构，即移动边缘计算（MEC）.移动边缘计算能够在移动蜂窝网络的边缘提供轻量级的云计算和存储能力.对移动边缘计算相关的最新研究成果进行了详尽的回顾：首先，概述了移动边缘计算的发展历程、关键问题和支撑技术；然后，针对MEC架构、计算迁移、边缘缓存和服务编排这4个关键研究问题进行了全面的综述，并讨论了增强现实、虚拟现实、动态内容交付、车联网和物联网等移动边缘计算中的典型应用案例；最后，从移动边缘计算功能增强、服务质量保障和安全可用性这3个方面展望了移动边缘计算的开放式研究挑战和未来的发展趋势. |
| 关键词: 移动边缘计算 MEC架构 计算迁移 边缘缓存 服务编排 |
| DOI：10.13328/j.cnki.jos.005861 |
| 分类号:TP393 |
| 基金项目:国家自然科学基金（61472316）；陕西省重大基础研究项目（2016ZDJC-05）；陕西省重点研发项目（2017ZDXM-GY-011，2019GY-005） |
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| Survey on Computation Offloading and Content Caching in Mobile Edge Networks |
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ZHANG Kai-Yuan1,2, GUI Xiao-Lin1,2, REN De-Wang1,2, LI Jing1,2, WU Jie1,2, REN Dong-Sheng1,2
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1.School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China;2.Shaanxi Province Key Laboratory of Computer Network(Xi'an Jiaotong University), Xi'an 710049, China
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| Abstract: |
| With the explosive growth of mobile devices and the advent of many new applications, mobile network traffic volume has been growing exponentially. The traditional centralized network architecture cannot accommodate such user demands due to heavy burden on the backhaul links and long latency. Therefore, new architecture, which brings network capability to the edge of network, is proposed, i.e., mobile edge computing (MEC). MEC provides lightweight cloud computing and caching capabilities at the edge of cellular networks. In this survey, an exhaustive review on the state-of-the-art research efforts on mobile edge computing is carried out. First, an overview of mobile edge computing, including development process, research hotpots, and key enablers, is given. Then, a comprehensive survey of issues on mobile edge computing architecture, computation offloading, edge caching and service orchestration at the mobile edge computing is presented. The applications and use cases of mobile edge computing, such as augmented reality, virtual reality, dynamic content delivery, Internet of vehicles, and Internet of things, are discussed. Finally, from the prspectives of function enhancement, quality of service assurance, security, and availability, the open research challenges and future direction of mobile edge computing are presented as well. |
| Key words: mobile edge computing MEC architecture computation offloading edge caching service orchestration |
