Computer Science ›› 2020, Vol. 47 ›› Issue (6A): 268-272.doi: 10.11896/JsJkx.190600115

• Computer Network • Previous Articles     Next Articles

Survey on Technology and Application of Edge Computing

ZHAO Ming   

  1. Wuhan Digital Engineering Research Institute,Wuhan 430000,China
  • Published:2020-07-07
  • About author:ZHAO Ming, born in 1996, master’s degree.His main research interest includes edge computing.

Abstract: Edge computing,as a new computing paradigm after cloud computing,migrates computation to the edge close to users and data sources,and provides data caching and processing functions with low latency,high security and location awareness.Starting from the Content Delivery Network of edge cache,this paper summarized the development of edge computing,the evolution process from the Content Delivery Network to cloud computing,fog computing and edge computing,and sorted out the relevant achievements from the perspective of academia and industry.Then,the three popular edge computing architectures were introduced,and the typical application scenarios of edge computing were summarized:Vehicle networking,Industrial production and Smart city.Finally,based on the military application background of naval battlefield,the architecture of command information system based on edge computing was proposed,and the future development trend and application direction were discussed.

Key words: Architecture, Development history, Edge computing, Military application

CLC Number: 

  • TP393
[1] MICHAEL A,ARMANDO F.Above the clouds:A berkeley view of cloud computin.http://www2.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.pdf.
[2] SATYANARAYANAN M,BAHL P,DAVIES N.The Case for VM-Based Cloudlets in Mobile Co-mputing.IEEE Pervasive Computing,2009,8(4):14-23.
[3] BONOMI F.Connected vehicles,the internet of things,and fog computing//The Eighth ACM International Workshop on Vehicular Inter-Networking (VANET).Las Vegas,USA.2011:13-15.
[4] SHI W,FELLOW,IEEE,et al.Edge Computing:Vision and Challenges.IEEE Internet of Things Journal,2016,3(5):637-646.
[5] LIU P,WILLIS D,BANERJEE S.ParaDrop:Enabling Lightweight Multi-tenancy at the Network’s Extreme Edge//2016 IEEE/ACM Symposium on Edge Computing (SEC).ACM,2016.
[6] NASTIC S,TRUONG H L,DUSTDAR S.A M- iddleware Infrastructure for Utility-Based Provisioning of IoT Cloud Systems//Edge Computing.IEEE,2016.
[7] ECHEVERRIA S,KLINEDINST D,WILLIAMS K,et al.Establishing Trusted Identities in Disconnected Edge Environments//2016 IEEE/ACM Symposium on Edge Computing (SEC).ACM,2016.
[8] QIB Z,KANGL,BANERJEES.A vehicle-based edge computing platform for transit and human mobility analytics//Procee-dings of the Second ACM/IEEE Symposium on Edge Computing (SEC’17).New York:Association for Computing Machinery,2017: 1-14.
[9] MA L,YI S ,LI Q.Efficient service handoff across edge servers via docker container migration//Proceedings of the Second ACM/IEEE Symposium on Edge Computing(SEC’17).California:Acm/ieee Symposium ACM,2017:1-13.
[10] LI Y,GAO W.MUVR:Supporting Multi-User Mobile Virtual Reality with Resource Constrained Edge Cloud//2018 IEEE/ACMSymposium on Edge Computing (SEC).Seattle,WA,2018:1-16.
[11] LIU L,ZHANG X,QIAO M,et al.SafeShareRide:Edge-Based Attack Detection in Ridesharing Services//2018 IEEE/ACMSymposium on Edge Computing (SEC).Seattle,WA,2018:17-29.
[12] ZAVALYSHYN I,DUARTE N O,SANTOS N.HomePad:A Privacy-Aware Smart Hub for Home Environments//2018 IEEE/ACM Sy-mposium on Edge Computing (SEC).Seattle,WA,2018:58-73.
[13] TRIMANANDA R,YOUNIS A,WANG B,et al.Vigilia:Securing Smart Home Edge Computing//2018 IEEE/ACM Symposium on Edge Computing (SEC).Seattle,WA,2018:74-89.
[14] MAO Y,YI S,LI Q,et al.Learning from Differentially Private Neural Activations with Edge Computing//2018 IEEE/ACM Symposium on Edge Computing (SEC).Seattle,WA,2018:90-102.
[15] EdgeX Foundry.EdgeX Foundry documentatin.https://www.edgexfoundry.org.
[16] 边缘计算产业联盟(ECC)与工业互联网产业联盟(AII).边缘计算参考架构.http://www.ecconsortium.org/Lists/show/id/334.html.
[17] OpenEdge.OpenEdge架构.https://openedge.tech/zh/do-cs/overview/OpenEdge-design.
[18] WU S Y,XIA W W,CUI W Q,et al.An Efficient Offloading Algorithm Based on Support Vector Machine for Mobile Edge Computing in Vehicular Networks//10.1109/WCSP.2018:1-6.
[19] SASAKI K,SUZUKI N,MAKIDO S,et al.V-ehicle control system coordinated between cloud and mobile edge computing//2016 55th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE).IEEE,2016.
[20] QUAN Y,ZHOU H,LI J,et al.Toward Effic- ient Content Delivery for Automated Drivi-ng Services:An Edge Computing Solution.IEEE Network,2018,32(1):80-86.
[21] HU L,MIAO Y M,WU G X,et al.iRobot-Factory:An intelligent robot factory based on cognitive manufacturing and edge computing.Future Generation Computer Systems,2018:S0167739X1831183X-.
[22] CHEN B T,WAN J F,CELESTI A,et al.Edge Computing in IoT-Based Manufacturing.IEEE Communications Magazine,2018,56(9):103-109.
[23] WU X B,YANG Z G.The Concept of Smart City and Future City Development.Urban Studies,2010,17(11):56-60.
[24] WANG R,TSAI W,HE J,et al.A Video Surveillance System Based on Permissioned Blockchains and Edge Computing//2019 IEEE International Conference on Big Data and Smart Computing (BigComp).Kyoto,Japan,2019:1-6.
[25] AKMANDOR A O,JHA N K.Smart Health Care:An EdgeSide Computing Perspective.IEEE Consumer Electronics Magazine,2017,7(1):29-37.
[26] GUHA R.Toward the Intelligent Web Syste- ms//International Conference on Comput-ational Intelligence.2009.
[27] SINGH D,TRIPATHI G,ALBERTI A M,et al.Semantic edge computing and IoT a-rchitecture for military health services in battlefield//2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC).Las Vegas,NV,2017:185-190.
[1] SUN Hui-ting, FAN Yan-fang, MA Meng-xiao, CHEN Ruo-yu, CAI Ying. Dynamic Pricing-based Vehicle Collaborative Computation Offloading Scheme in VEC [J]. Computer Science, 2022, 49(9): 242-248.
[2] HU Yu-jiao, JIA Qing-min, SUN Qing-shuang, XIE Ren-chao, HUANG Tao. Functional Architecture to Intelligent Computing Power Network [J]. Computer Science, 2022, 49(9): 249-259.
[3] LIU Gao-cong, LUO Yong-ping, JIN Pei-quan. Accelerating Persistent Memory-based Indices Based on Hotspot Data [J]. Computer Science, 2022, 49(8): 26-32.
[4] YU Bin, LI Xue-hua, PAN Chun-yu, LI Na. Edge-Cloud Collaborative Resource Allocation Algorithm Based on Deep Reinforcement Learning [J]. Computer Science, 2022, 49(7): 248-253.
[5] LI Meng-fei, MAO Ying-chi, TU Zi-jian, WANG Xuan, XU Shu-fang. Server-reliability Task Offloading Strategy Based on Deep Deterministic Policy Gradient [J]. Computer Science, 2022, 49(7): 271-279.
[6] SHUAI Jian-bo, WANG Jin-ce, HUANG Fei-hu, PENG Jian. Click-Through Rate Prediction Model Based on Neural Architecture Search [J]. Computer Science, 2022, 49(7): 10-17.
[7] LIU Yun, DONG Shou-jie. Acceleration Algorithm of Multi-channel Video Image Stitching Based on CUDA Kernel Function [J]. Computer Science, 2022, 49(6A): 441-446.
[8] YUAN Hao-nan, WANG Rui-jin, ZHENG Bo-wen, WU Bang-yan. Design and Implementation of Cross-chain Trusted EMR Sharing System Based on Fabric [J]. Computer Science, 2022, 49(6A): 490-495.
[9] FANG Tao, YANG Yang, CHEN Jia-xin. Optimization of Offloading Decisions in D2D-assisted MEC Networks [J]. Computer Science, 2022, 49(6A): 601-605.
[10] LIU Zhang-hui, ZHENG Hong-qiang, ZHANG Jian-shan, CHEN Zhe-yi. Computation Offloading and Deployment Optimization in Multi-UAV-Enabled Mobile Edge Computing Systems [J]. Computer Science, 2022, 49(6A): 619-627.
[11] XIE Wan-cheng, LI Bin, DAI Yue-yue. PPO Based Task Offloading Scheme in Aerial Reconfigurable Intelligent Surface-assisted Edge Computing [J]. Computer Science, 2022, 49(6): 3-11.
[12] YE Yue-jin, LI Fang, CHEN De-xun, GUO Heng, CHEN Xin. Study on Preprocessing Algorithm for Partition Reconnection of Unstructured-grid Based on Domestic Many-core Architecture [J]. Computer Science, 2022, 49(6): 73-80.
[13] FU Si-qing, LI Tie-jun, ZHANG Jian-min. Architecture Design for Particle Transport Code Acceleration [J]. Computer Science, 2022, 49(6): 81-88.
[14] ZHANG Hai-bo, ZHANG Yi-feng, LIU Kai-jian. Task Offloading,Migration and Caching Strategy in Internet of Vehicles Based on NOMA-MEC [J]. Computer Science, 2022, 49(2): 304-311.
[15] LIN Chao-wei, LIN Bing, CHEN Xing. Study on Scientific Workflow Scheduling Based on Fuzzy Theory Under Edge Environment [J]. Computer Science, 2022, 49(2): 312-320.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!