Full Text:   <1306>

Summary:  <1057>

CLC number: TP391

On-line Access: 2021-03-08

Received: 2019-11-20

Revision Accepted: 2020-03-16

Crosschecked: 2020-05-29

Cited: 0

Clicked: 2577

Citations:  Bibtex RefMan EndNote GB/T7714

 ORCID:

Weiyong Yang

https://orcid.org/0000-0001-8430-9168

Kangle Yang

https://orcid.org/0000-0001-7646-4336

-   Go to

Article info.
Open peer comments

Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.3 P.374-399

http://doi.org/10.1631/FITEE.1900636


EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of Things


Author(s):  Weiyong Yang, Wei Liu, Xingshen Wei, Zixin Guo, Kangle Yang, Hao Huang, Longyun Qi

Affiliation(s):  Department of Computer Science and Technology, Nanjing University, Nanjing 210023, China; more

Corresponding email(s):   yangkangle@sgepri.sgcc.com.cn

Key Words:  Internet of Things, Ubiquitous power Internet of Things, Edge computing, Trusted computing, Network security


Weiyong Yang, Wei Liu, Xingshen Wei, Zixin Guo, Kangle Yang, Hao Huang, Longyun Qi. EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of Things[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(3): 374-399.

@article{title="EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of Things",
author="Weiyong Yang, Wei Liu, Xingshen Wei, Zixin Guo, Kangle Yang, Hao Huang, Longyun Qi",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="22",
number="3",
pages="374-399",
year="2021",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900636"
}

%0 Journal Article
%T EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of Things
%A Weiyong Yang
%A Wei Liu
%A Xingshen Wei
%A Zixin Guo
%A Kangle Yang
%A Hao Huang
%A Longyun Qi
%J Frontiers of Information Technology & Electronic Engineering
%V 22
%N 3
%P 374-399
%@ 2095-9184
%D 2021
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900636

TY - JOUR
T1 - EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of Things
A1 - Weiyong Yang
A1 - Wei Liu
A1 - Xingshen Wei
A1 - Zixin Guo
A1 - Kangle Yang
A1 - Hao Huang
A1 - Longyun Qi
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 22
IS - 3
SP - 374
EP - 399
%@ 2095-9184
Y1 - 2021
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1900636


Abstract: 
Ubiquitous power internet of Things (IoT) is a smart service system oriented to all aspects of the power system, and has the characteristics of universal interconnection, human-computer interaction, comprehensive state perception, efficient information processing, and other convenient and flexible applications. It has become a hot topic in the field of IoT. We summarize some existing research work on the IoT and edge computing framework. Because it is difficult to meet the requirements of ubiquitous power IoT for edge computing in terms of real time, security, reliability, and business function adaptation using the general edge computing framework software, we propose a trusted edge computing framework, named “EdgeKeeper,” adapting to the ubiquitous power IoT. Several key technologies such as security and trust, quality of service guarantee, application management, and cloud-edge collaboration are desired to meet the needs of the edge computing framework. Experiments comprehensively evaluate EdgeKeeper from the aspects of function, performance, and security. Comparison results show that EdgeKeeper is the most suitable edge computing framework for the electricity IoT. Finally, future directions for research are proposed.

EdgeKeeper:一种适应泛在电力物联网的可信边缘计算框架

杨维永1,2,刘苇2,魏兴慎2,郭子昕2,杨康乐2,黄皓1,祁龙云2
1南京大学计算机科学与技术系,中国南京市,210023
2南瑞集团有限公司,中国南京市,210023
摘要:泛在电力物联网是围绕电力系统各环节,实现各环节万物互联、人机交互,具有状态全面感知、信息高效处理、应用便捷灵活特征的智慧服务系统,已成为物联网领域研究的一个热点。本文总结了物联网和边缘计算框架方面一些已有的研究工作。由于通用边缘计算框架软件在实时性、安全性、可靠性和业务功能适配等方面难以满足泛在电力物联网对边缘计算的相关要求,本文设计了一种适应于泛在电力物联网的可信边缘计算框架—EdgeKeeper,并给出安全可信、实时性QoS保障、应用管理以及云边协同实现的关键技术方法。实验章节从功能、性能、安全性等方面对EdgeKeeper进行全面评估,通过对比说明EdgeKeeper是最适应泛在电力物联网的边缘计算框架。最后,展望了未来研究方向。

关键词:物联网;泛在电力物联网;边缘计算;可信计算;网络安全

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

Reference

[1]Ahmed R, Zaheer Z, Li R, et al., 2018. Harpocrates: giving out your secrets and keeping them too. IEEE/ACM Symp on Edge Computing, p.103-114.

[2]Ai Y, Peng M, Zhang KC, 2018. Edge computing technologies for Internet of Things: a primer. Dig Commun Netw, 4(2):77-86.

[3]Aral A, Brandic I, 2018. Dependency mining for service resilience at the edge. IEEE/ACM Symp on Edge Computing, p.228-242.

[4]Boutaud F, Ehlig PN, 1991. Series Maxium/Minimum Function Computing Devices, Systems and Methods. US Patent 5 072 418, USA.

[5]Cai YM, Feng SY, Du HW, et al., 2019. Novel edge-ware adaptive data processing method for the ubiquitous electric power Internet of Things. High Volt Eng, 45(6):1715-1722 (in Chinese).

[6]Chao MY, Yang C, Zeng YK, et al., 2018. F-MStorm: feedback-based online distributed mobile stream processing. IEEE/ACM Symp on Edge Computing, p.273-285.

[7]Chen XL, Wan S, Zhu YF, et al., 2019. Analysis of distributed power distribution fault processing based on edge computing. Electromech Inform, (17):32-33 (in Chinese).

[8]Edge Computing Consortium, 2018. Edge Computing Reference Architecture 3.0. http://www.ecconsortium.org/Uploads/file/20190225/1551059767474697.pdf [Accessed on Sept. 12, 2019].

[9]Feng ZQ, George S, Harkes J, et al., 2018. Edge-based discovery of training data for machine learning. IEEE/ACM Symp on Edge Computing, p.145-158.

[10]Fultz D, Ramanujan AS, Ibitayo KY, 2010. Rules Engine Architecture and Implementation. US Patent 7 853 786, USA.

[11]Hu YC, Patel M, Sabella D, et al., 2015. Mobile Edge Computing—A Key Technology Towards 5G. ETSI White Paper No. 11, ETSI, France.

[12]Jang SY, Lee Y, Shin B, et al., 2018. Application-aware IoT camera virtualization for video analytics edge computing. IEEE/ACM Symp on Edge Computing, p.132-144.

[13]Li JR, Li XY, Gao YL, et al., 2018. Review on data forwarding model in Internet of Things. J Softw, 29(1):196-224 (in Chinese).

[14]Li SN, Luo GJ, 2014. The overview of technologies and applications for industrial IOT. Telecommun Netw Technol, (3):26-31 (in Chinese).

[15]Liang JY, Liu B, Liu F, 2019. The present situation of open source platforms for edge computing. ZTE Technol, 25(3):8-14 (in Chinese).

[16]Liu RL, Liu HT, Xia SF, et al., 2019. Internet of Things technology application and prospects in distribution transformer service area management. High Volt Eng, 45(6):1707-1714 (in Chinese).

[17]Luan TH, Gao LX, Li Z, et al., 2015. Fog computing: focusing on mobile users at the edge. https://arxiv.org/abs/1502.01815

[18]Mach P, Becvar Z, 2017. Mobile edge computing: a survey on architecture and computation offloading. IEEE Commun Surv Tutor, 19(3):1628-1656.

[19]Maheshwari S, Raychaudhuri D, Seskar I, et al., 2018. Scalability and performance evaluation of edge cloud systems for latency constrained applications. IEEE/ACM Symp on Edge Computing, p.286-299.

[20]Mao YY, You CS, Zhang J, et al., 2017. A survey on mobile edge computing: the communication perspective. IEEE Commun Surv Tutor, 19(4):2322-2358.

[21]Satyanarayanan M, 2017. The emergence of edge computing. Computer, 50(1):30-39.

[22]Saxena H, Salem K, 2015. EdgeX: edge replication for web applications. 8th Int Conf on Cloud Computing, p.1041-1044.

[23]Sha LT, Xiao P, Chen W, et al., 2018. Leakage perception method for backdoor privacy in industry Internet of Things environment. J Softw, 29(7):1863-1879 (in Chinese).

[24]Shen SB, Yang Z, 2015. Architecture of Internet of Things and its standardization. J Nanjing Univ Post Telecommun (Nat Sci), 35(1):1-18 (in Chinese).

[25]Shi WS, Dustdar S, 2016. The promise of edge computing. Computer, 49(5):78-81.

[26]Shi WS, Cao J, Zhang Q, et al., 2016. Edge computing: vision and challenges. IEEE Int Things J, 3(5):637-646.

[27]Shi WS, Sun H, Cao J, et al., 2017. Edge computing—an emerging computing model for the Internet of Everything era. J Comput Res Dev, 54(5):907-924 (in Chinese).

[28]Wang H, Li Y, Mi MR, et al., 2013. Secure data fusion method based on supervisory mechanism for industrial Internet of Things. Chin J Sci Instrum, 34(4):817-824 (in Chinese).

[29]Xu H, 2019. Implementation of edge calculation in motor monitoring system. Electron Technol Soft Eng, (11):190-192 (in Chinese).

[30]Yang WY, Liu W, Huang H, et al., 2016. Research on power private micro kernel-based secure operating system technology. Electron Power Inform Commun Technol, 14(11):22-27 (in Chinese).

[31]Yang WY, Liu W, Wei XS, et al., 2019. Micro-kernel OS architecture and its ecosystem construction for ubiquitous electric power IoT. IEEE Int Conf on Energy Internet, p.179-184.

[32]Yang YM, Song ZH, 2015. Research on industrial Internet of Things security and protection technology. Int Things Technol, 5(3):64-66, 69 (in Chinese).

[33]Zhang JX, Wu XL, Yang Z, et al., 2018. Research and application of industrial data acquisition based on industrial Internet of Things. Telecommun Sci, 34(10):124-129 (in Chinese).

[34]Zhou Q, 2018. GE Industrial Internet five years. Chin Ind Inform Technol, (7):32-38.

[35]Zuo PL, Zhou Q, Dai X, 2019. Analysis of industrial Internet of Things technology in smart factory. Style Sci Technol, (8):88 (in Chinese).

Open peer comments: Debate/Discuss/Question/Opinion

<1>

Please provide your name, email address and a comment





Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2022 Journal of Zhejiang University-SCIENCE