

FOLLOWUS
Department of Computer Science and Technology, Nanjing University, Nanjing 210023, China
NARI Group Co., Ltd., Nanjing 210003, China
Kangle YANG, E-mail: yangkangle@sgepri.sgcc.com.cn
Received:20 November 2019,
Revised:2020-;5-29,
Published Online:08 January 2021,
Published:2021-03
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Weiyong YANG, Wei LIU, Xingshen WEI, et al. EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of Things[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(3): 374-399.
Weiyong YANG, Wei LIU, Xingshen WEI, et al. EdgeKeeper: a trusted edge computing framework for ubiquitous power Internet of Things[J]. Frontiers of Information Technology & Electronic Engineering, 2021, 22(3): 374-399. DOI: 10.1631/FITEE.1900636.
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。
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.
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