TY - GEN
T1 - A Blockchain-Based Cloud Edge Fusion Computing Platform for the Smart Grid
AU - Gao, Ying
AU - Su, Sijie
AU - Chen, Yandan
AU - Pan, Qiaofeng
AU - Hu, Xiping
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - With the development of the smart grid, the number of access equipment capacity reached more than 100 million, resulting in long delays in the transmission of a large amount of data obtained from the terminal side to the cloud computing center. The emergence of powerful edge computing can greatly reduce the propagation delay, improve the management efficiency of IoT equipment in the smart grid, and reduce the communication delay between devices. However, due to decentralization, classical edge computing platforms face management and security challenges. In this paper, we propose a blockchain-based cloud edge fusion computing (BCEC) platform for controlling the smart grid, which integrates blockchain techniques to ensure the safety of the smart grid equipment. Specifically, we propose a three-level five-dimension credit scoring algorithm to ensure the security of the system. Through this algorithm, cloud computing and edge computing are combined, and the credit score of terminal equipment is allocated, taking into account the participation and security. Finally, we propose a time greedy allocation algorithm based on the Gini coefficient as a scheduling algorithm to ensure the fairness of system allocation and minimize the allocation delay. We deploy BCEC in the simulation environment for experimentation and the results show that BCEC can provide calculation services with low latency and high fairness for the smart grid system.
AB - With the development of the smart grid, the number of access equipment capacity reached more than 100 million, resulting in long delays in the transmission of a large amount of data obtained from the terminal side to the cloud computing center. The emergence of powerful edge computing can greatly reduce the propagation delay, improve the management efficiency of IoT equipment in the smart grid, and reduce the communication delay between devices. However, due to decentralization, classical edge computing platforms face management and security challenges. In this paper, we propose a blockchain-based cloud edge fusion computing (BCEC) platform for controlling the smart grid, which integrates blockchain techniques to ensure the safety of the smart grid equipment. Specifically, we propose a three-level five-dimension credit scoring algorithm to ensure the security of the system. Through this algorithm, cloud computing and edge computing are combined, and the credit score of terminal equipment is allocated, taking into account the participation and security. Finally, we propose a time greedy allocation algorithm based on the Gini coefficient as a scheduling algorithm to ensure the fairness of system allocation and minimize the allocation delay. We deploy BCEC in the simulation environment for experimentation and the results show that BCEC can provide calculation services with low latency and high fairness for the smart grid system.
KW - Blockchain
KW - Cloud computing
KW - Edge computing
KW - Smart grid
UR - http://www.scopus.com/inward/record.url?scp=85142091913&partnerID=8YFLogxK
U2 - 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00021
DO - 10.1109/iThings-GreenCom-CPSCom-SmartData-Cybermatics55523.2022.00021
M3 - Conference contribution
AN - SCOPUS:85142091913
T3 - Proceedings - IEEE Congress on Cybermatics: 2022 IEEE International Conferences on Internet of Things, iThings 2022, IEEE Green Computing and Communications, GreenCom 2022, IEEE Cyber, Physical and Social Computing, CPSCom 2022 and IEEE Smart Data, SmartData 2022
SP - 204
EP - 211
BT - Proceedings - IEEE Congress on Cybermatics
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green Computing and Communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2022 and 8th IEEE International Conference on Smart Data, SmartData 2022
Y2 - 22 August 2022 through 25 August 2022
ER -
