Blockchain-Based Reliable Fog-Cloud Service Solution for IIoT

DAI Meiling; XU Siya; SHAO Sujie; GUO Shaoyong; QIU Xuesong; XIONG Ao

doi:10.1049/cje.2021.02.009

Volume 30 Issue 2

Apr. 2021

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DAI Meiling, XU Siya, SHAO Sujie, et al., “Blockchain-Based Reliable Fog-Cloud Service Solution for IIoT,” Chinese Journal of Electronics, vol. 30, no. 2, pp. 359-366, 2021, doi: 10.1049/cje.2021.02.009

Citation:

DAI Meiling, XU Siya, SHAO Sujie, et al., “Blockchain-Based Reliable Fog-Cloud Service Solution for IIoT,” Chinese Journal of Electronics, vol. 30, no. 2, pp. 359-366, 2021, doi: 10.1049/cje.2021.02.009

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Blockchain-Based Reliable Fog-Cloud Service Solution for IIoT

doi: 10.1049/cje.2021.02.009

State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing 100876, China

Funds:

the National Key R & D Program of China 2018YFB1402704

the National Natural Science Foundation of China 62071070

BUPT Excellent Ph.D. Students Foundation CX2019131

More Information

Author Bio:
DAI Meiling   was born in Chongqing, China, in 1995. She received the B.S. degree from Beijing University of Posts and Telecommunication, Beijing, China, in 2017, where she is currently pursuing the Ph.D. degree. Her research interests include the Internet of Things, blockchain, cloud computing and edge computing. (Email: mldai@bupt.edu.cn)

XU Siya   was born in Beijing, China, in 1988. She received the Ph.D. degree in communication and information system from the Beijing University of Posts and Telecommunications. She is currently a Lecturer with the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. Her research interests include smart grid communication network management, SDN/NFV, and the Internet of Things. (Email: xusiyaxsy@bupt.edu.cn)

SHAO Sujie   received the Ph.D. degree from the Beijing University of Posts and Telecommunication, Beijing, China, in 2015. He is currently a Lecturer with the State Key Laboratory of Networking and Switching Technology of Beijing University of Posts and Telecommunication. His research interests include edge computing, the Internet of Things, smart grids, and communication network management. (Email: buptssj@bupt.edu.cn)

QIU Xuesong   was born in 1973. He received the Ph.D. degree from the Beijing University of Posts and Telecommunications, Beijing, China, in 2000. He is currently a Professor and the Ph.D. Supervisor with the State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications. He has authored about 100 SCI/EI index papers. He presides over a series of key research projects on network and service management, including the projects supported by the National Natural Science Foundation and the National HighTech Research and Development Program of China. (Email: xsqiu@bupt.edu.cn)
Corresponding author: GUO Shaoyong (corresponding author) is with the Department of State Key Laboratory of Networking and Switching Technology, and received Ph.D. degree at Beijing University of Posts and Telecommunication. His research interests include blockchain application technology, edge computing, and IIoT in energy Internet. (Email: syguo@bupt.edu.cn); XIONG Ao (corresponding author) was born in Jiujiang, China, in 1974. He received the Ph.D. degree in computer science from the Beijing University of Posts and Telecommunications, Beijing, China in 2013. He is currently an Associate Professor with the State Key Laboratory of Networking and Switching Technology, BUPT. He has authored about 30 SCI/EI index articles and received 14 national and provincial scientific and technical awards. His research interests include communication network and communication software, the Internet routing and applications, and network management. (Email: xiongao@bupt.edu.cn)
Received Date: 2020-04-28
Accepted Date: 2020-07-20
Publish Date: 2021-03-01

Abstract

Abstract

Industrial Internet of things (IIoT) deploys a large number of smart devices to obtain industrial data, which will be transmitted to cloud for analysis to improve industrial productivity. The management of large-scale devices is complicated, and it's also a challenge to choose a high-quality cloud service for data analysis as the number of service with similar functions increases. To address these issues, we propose a reliable fog-cloud service solution with blockchain-based fog-cloud architecture. In fog layer, we build a management blockchain between fog servers and design a management method for industrial devices; In cloud layer, we construct a service blockchain between cloud service providers to form an open "service market". Quality of service and reputation based matching algorithm and reputation-based consensus algorithm are designed. The simulation results show correctness and efficiency of algorithms, and validate effectiveness of our proposed solution.
- Blockchain,
- Fog-cloud architecture,
- Reputation,
- Cloud service matching,
- Industrial internet of things

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References(24)

References

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