边缘计算的架构、挑战与应用

李林哲; 周佩雷; 程鹏; 史治国

doi:10.11959/j.issn.2096-0271.2019010

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边缘计算的架构、挑战与应用

专题：边缘计算 | 更新时间：2024-06-03

- 边缘计算的架构、挑战与应用
- Architecture,challenges and applications of edge computing
- 大数据 2019年5卷第2期页码：2019010-1
- 作者机构：
  
  1. 浙江大学工业控制技术国家重点实验室，浙江杭州 310058
  2. 阿里巴巴-浙江大学前沿技术联合研究中心，浙江杭州 310058
  3. 浙江省公众信息产业有限公司，浙江杭州 310058
- 作者简介：
  
  [ "李林哲（1994- ），女，浙江大学工业控制技术国家重点实验室硕士生，主要研究方向为预测性维护、边缘计算场景中的机器视觉应用。" ]
  [ "周佩雷（1977- ），男，浙江省公众信息产业有限公司智慧旅游事业部总经理，浙江省公众信息旅游云重点企业研究院副院长，中国电信旅游行业信息化应用基地副总经理，主要研究方向为旅游大数据的架构及应用、物联网应用、无线网络的基础应用研究。" ]
  [ "程鹏（1982- ），男，博士，浙江大学工业控制技术国家重点实验室教授、博士生导师，工业控制研究所副所长、网络空间安全研究中心副主任，主要研究方向为控制系统安全、物联网及信息物理融合系统、数据安全与隐私保护。" ]
  [ "史治国（1978- ），男，博士，浙江大学工业控制技术国家重点实验室教授、博士生导师，信息与电子工程学院电子工程系副系主任，主要研究方向为群智感知、目标跟踪与定位、物联网系统设计、反无人机技术与系统。" ]
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2019010
  中图分类号： TP393.0
- 网络首发：2019-03，
  
  纸质出版：2019-03-15
- 稿件说明：
移动端阅览
李林哲, 周佩雷, 程鹏, 等. 边缘计算的架构、挑战与应用[J]. 大数据, 2019,5(2):2019010-1.

Linzhe LI, Peilei ZHOU, Peng CHENG, et al. Architecture,challenges and applications of edge computing[J]. Big Data Research, 2019, 5(2): 2019010-1.
李林哲, 周佩雷, 程鹏, 等. 边缘计算的架构、挑战与应用[J]. 大数据, 2019,5(2):2019010-1. DOI： 10.11959/j.issn.2096-0271.2019010.

Linzhe LI, Peilei ZHOU, Peng CHENG, et al. Architecture,challenges and applications of edge computing[J]. Big Data Research, 2019, 5(2): 2019010-1. DOI： 10.11959/j.issn.2096-0271.2019010.

摘要

边缘计算是一种在网络边缘执行计算任务的新型计算模型，相比于云计算模型，能够更加迅速、可靠和节能地响应用户需求。从云计算模型的不足出发，首先介绍了边缘计算的概念和通用构架，随后详细阐述了两个边缘计算参考构架，总结了边缘计算面临的挑战，并介绍了针对这些挑战的研究进展。随着边缘计算相关理论和技术的发展，边缘计算将成为推动物联网服务升级的关键技术，以预测性维护和安防监控为例，对边缘计算的应用进行了介绍。

Abstract

Edge computing is a new type of computing models that performs computing tasks at the edge of the network.Compared with cloud computing

it can respond to user’s needs more quickly and reliably.Starting from the shortcomings of cloud computing

the concept and general architecture of edge computing were illustrated

and then two reference frameworks proposed by industry alliances were elaborated.Four challenges of edge computing and their latest research progress were summarized.With the development of theory and technology related to edge computing

it will become a key technology to promote the upgrade of Internet of things (IoT) services.For this reason

two applications of edge computing in manufacturing and security monitoring were introduced.

关键词

Keywords

references

于文平 . 《2017—2018中国物联网发展年度报告》发布 [J ] . 物联网技术 , 2018 , 8 ( 10 ): 5 - 6 .

YU W P . Annual report on China’s Internet of things development from 2017 to 2018’ released [J ] . Internet of Things Technologies , 2018 , 8 ( 10 ): 5 - 6 .

KNORR E , GRUMAN G . What cloud computing really means [J ] . InfoWorld , 2008 ( 7 ):20

BONOMI F , MILITO R , ZHU J , et al . Fog computing and its role in the Internet of things [C ] // The 1st Edition of the MCC Workshop on Mobile Cloud Computing,August 17,2012,Helsinki,Finland . New York:ACM Press , 2012 : 13 - 16 .

BELOGLAZOV A , ABAWAJY J , BUYYA R . Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing [J ] . Future Generation Computer Systems , 2012 , 28 ( 5 ): 755 - 768 .

TAKABI H , JOSHI J B D , AHN G J . Security and privacy challenges in cloud computing environments [J ] . IEEE Security and Privacy , 2010 ( 6 ): 24 - 31 .

PEARSON S , BENAMEUR A . Privacy,security and trust issues arising from cloud computing [C ] // 2010 IEEE 2nd International Conference on Cloud Computing Technology and Science (CloudCom),November 30-December 3,2010,Indianapolis,USA . Piscataway:IEEE Press , 2010 : 693 - 702 .

SHI W S , CAO J , ZHANG Q , et al . Edge computing:vision and challenges [J ] . IEEE Internet of Things Journal , 2016 , 3 ( 5 ): 637 - 646 .

HU Y C , PATEL M , SABELLA D , et al . Mobile edge computing-a key technology towards 5G [M ] // ETSI White Paper.[S.l.:s.n] . 2015 .

WEIN J M , KLONINGER J J , NOTTINGHAM M C , et al . Content delivery network (CDN) content server request handling mechanism with metadata framework support:U.S.Patent 7,240,100 [P ] .2007-7-3.

施巍松 , 张星洲 , 王一帆 , 等 . 边缘计算：现状与展望 [J ] . 计算机研究与发展 , 2019 ( 1 ): 1 - 21 .

SHI W S , ZHANG X Z , WANG Y F , et al . Edge computing:state-of-the-art and future directions [J ] . Journal of Computer Research and Development , 2019 ( 1 ): 1 - 21 .

PORTILLA J , MUJICA G , LEE J , et al . The extreme edge at the bottom of the Internet of things:a review [J ] . IEEE Sensors Journal , 2019 ( 1 ): 1 - 20 .

YU W , LIANG F , HE X , et al . A survey on the edge computing for the Internet of things [J ] . IEEE Access , 2018 ( 6 ): 6900 - 6919 .

施巍松 , 孙辉 , 曹杰 , 等 . 边缘计算:万物互联时代新型计算模型 [J ] . 计算机研究与发展 , 2017 , 54 ( 5 ): 907 - 924 .

SHI W S , SUN H , CAO J , et al . Edge computing-an emerging computing model for the Internet of everything era [J ] . Journal of Computer Research and Development , 2017 , 54 ( 5 ): 907 - 924 .

BONOMI F , MILITO R , NATARAJAN P , et al . Fog computing:a platform for internet of things and analytics [M ] // Big data and Internet of things:a roadmap for smart environments . Heidelberg:Springer , 2014 : 169 - 186 .

STOJMENOVIC I , WEN S . The fog computing paradigm:scenarios and security issues [C ] // 2014 Federated Conference on Computer Science and Information Systems (FedCSIS),September 7-10,2014,Warsaw,Poland . Piscataway:IEEE Press , 2014 : 1 - 8 .

REN J , GUO H , XU C , et al . Serving at the edge:a scalable IoT architecture based on transparent computing [J ] . IEEE Network , 2017 , 31 ( 5 ): 96 - 105 .

TALEB T , SAMDANIS K , MADA B , et al . On multi-access edge computing:a survey of the emerging 5G network edge cloud architecture and orchestration [J ] . IEEE Communications Surveys and Tutorials , 2017 , 19 ( 3 ): 1657 - 1681 .

GARCIA LOPEZ P , MONTRESOR A , EPEMA D , et al . Edge-centric computing:vision and challenges [J ] . ACM SIGCOMM Computer Communication Review , 2015 , 45 ( 5 ): 37 - 42 .

安星硕 , 曹桂兴 , 苗莉 , 等 . 智慧边缘计算安全综述 [J ] . 电信科学 , 2018 , 34 ( 7 ): 135 - 147 .

AN X S , CAO G X , MIAO L , et al . Security of intelligent edge computing:a survey [J ] . Telecommunications Science , 2018 , 34 ( 7 ): 135 - 147 .

CHEN T , MOREAU T , JIANG Z , et al . TVM:end-to-end compilation stack for deep learning [J ] . Computer Science , 2018 ,arXiv:1802.04799v1.

MOREAU T , CHEN T , JIANG Z , et al . VTA:an open hardware-software stack for deep learning [J ] . Computer Science , 2018 ,arXiv:1807.04188.

MOCKAPETRIS P , DUNLAP K J . Development of the domain name system [M ] . New York : ACM PressPress , 1988 .

ZHANG L , ESTRIN D , BURKE J , et al . Named data networking (ndn) project [J ] . ACM SIGCOMM Computer Communication Review , 2010 , 44 ( 3 ): 66 - 73 .

WU H , SHI J , WANG Y , et al . On incremental deployment of named data networking in local area networks [C ] // 2017 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS),May 18-19,2017,Beijing,China . Piscataway:IEEE Press , 2017 : 82 - 94 .

ZHANG D , MA Y , ZHENG C , et al . Cooperative-competitive task allocation in edge computing for delay-sensitive social sensing [C ] // 2018 IEEE/ACM Symposium on Edge Computing (SEC),February 24-25,2018,Dubai,United Arab Emirates . Piscataway:IEEE Press , 2018 : 243 - 259 .

XIAO K , GAO Z , WANG Q , et al . A heuristic algorithm based on resource requirements forecasting for server placement in edge computing [C ] // 2018 IEEE/ACM Symposium on Edge Computing (SEC) ,February 24-25,2018,Dubai,United Arab Emirates . Piscataway:IEEE Press , 2018 : 354 - 355 .

庄小君 , 杨波 , 王旭 , 等 . 移动边缘计算安全研究 [J ] . 电信工程技术与标准化 , 2018 , 31 ( 12 ): 38 - 43 .

ZHUANG X J , YANG B , WANG X , et al . Approach on mobile edge computing security [J ] . Telecom Engineering Technics and Standardization , 2018 , 31 ( 12 ): 38 - 43 .

SHI W , DUSTDAR S . The promise of edge computing [J ] . Computer , 2016 , 49 ( 5 ): 78 - 81 .

CHI J , OWUSU E , YIN X , et al . Privacy partition:a privacy-preserving framework for deep neural networks in edge networks [C ] // 2018 IEEE/ACM Symposium on Edge Computing (SEC),February 24-25,2018,Dubai,United Arab Emirates . Piscataway:IEEE Press , 2018 : 378 - 380 .

TRIMANANDA R , YOUNIS A , WANG B , et al . Vigilia:securing smart home edge computing [C ] // 2018 IEEE/ACM Symposium on Edge Computing (SEC),February 24-25,2018,Dubai,United Arab Emirates . Piscataway:IEEE Press , 2018 : 74 - 89 .

MOBLEY R K . An introduction to predictive maintenance [M ] . Amsterdam : ElsevierPress , 2002 .

CHEN N , CHEN Y , SONG S , et al . Smart urban surveillance using fog computing [C ] // 2016 IEEE/ACM Symposium on Edge Computing (SEC),October 27-28,2016,Washington,DC,USA . Piscataway:IEEE Press , 2016 : 95 - 96 .

IANDOLA F N , HAN S , MOSKEWICZ M W , et al . Squeezenet:alexnet-level accuracy with 50x fewer parameters and < 0.5 MBmodel size [J ] . Computer Science , 2016 arXiv:1602.07360.

NIKOUEI S Y , CHEN Y , FAUGHNAN T R . Smart surveillance as an edge service for realtime human detection and tracking [C ] // 2018 IEEE/ACM Symposium on Edge Computing (SEC),February 24-25,2018,Dubai,United Arab Emirates . Piscataway:IEEE Press , 2018 : 336 - 337 .

NIKOUEI S Y , CHEN Y , SONG S , et al . Kerman:a hybrid lightweight tracking algorithm to enable smart surveillance as an edge service [J ] . Computer Science , 2018 arXiv:1808.02134.

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