An IoT Edge Computing System Architecture and its Application
Shichao Chen1,2; Qijie Li1,3; Hua Zhang4; fenghua.zhu@ia.ac.cn1; Gang Xiong5; Ying Tang6
2020
Conference NameThe 2020 IEEE International Conference on Networking, Sensing and Control
Conference DateOct. 30 – Nov.2, 2020.
Conference PlaceNanjing, China
Abstract

As the number of devices connected to the Internet of things (IoT) surges , the amount of data explodes. Therefore it not only increases the bandwidth load of data transmission but also aggravates the computing and storage load of a cloud platform. At the same time, the traditional computing paradigm centered on cloud computing cannot meet the real-time requirements in many application scenarios. The emergence of edge computing can solve the problems of real-time data processing and network bandwidth occupation in the current IoT scene. In this paper, according to the characteristics of IoT, such as fragmented data, heterogeneous network, and limited energy consumption, the architecture of an IoT edge computing system is constructed to suit better an IoT scene. In addition, the application of edge computing key technologies such as virtualization, edge intelligence, computing offload, collaborative scheduling and micro-services in resource-constrained IoT scenarios is analyzed in detail. Finally, the functions and application of energy consumption monitoring and optimization to a central air-conditioning system are analyzed and summarized, which is a typical application of edge computing in the context of the IoT.

KeywordIoT Edge computing Energy monitoring and optimization Introduction
Indexed ByEI
Language英语
Document Type会议论文
Identifierhttp://ir.ia.ac.cn/handle/173211/47507
Collection复杂系统管理与控制国家重点实验室_平行智能技术与系统团队
Corresponding AuthorYing Tang
Affiliation1.Institute of Automation, Chinese Academy of Sciences
2.Macau University of Science and Technology
3.Beijing University of Technology
4.Beijing Aerospace Smart Manufacturing Technology Development Co.,Ltd
5.Cloud Computing Center, Chinese Academy of Sciences
6.Qingdao Academy of Intelligent Industries
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Shichao Chen,Qijie Li,Hua Zhang,et al. An IoT Edge Computing System Architecture and its Application[C],2020.
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