TY - JOUR
T1 - Industrial Edge Computing
T2 - Enabling Embedded Intelligence
AU - Dai, Wenbin
AU - Nishi, Hiroaki
AU - Vyatkin, Valeriy
AU - Huang, Victor
AU - Shi, Yang
AU - Guan, Xinping
N1 - Funding Information:
Xinping Guan(xpguan@sjtu.edu.cn) earned his B.S. degree from Harbin Normal University, China, in 1986, his M.S. degree from the Harbin Institute of Technology, China, in 1994, and his Ph.D. degree in electrical engineering from the Harbin Institute of Technology in 1999. He is a professor at Shanghai Jiao Tong University, China, where he is dean of the School of Electrical Information and Electronic Engineering. He is also the director of the Key Laboratory of Systems Control and Information Processing, Ministry of Education of China. As a principal investigator, he has been involved in many key national research projects. He is the leader of the prestigious Innovative Research Team of the National Natural Science Foundation of China. He is a Fellow of the IEEE.
Publisher Copyright:
© 2007-2011 IEEE.
PY - 2019/12
Y1 - 2019/12
N2 - The term industrial edge computing is used to describe a distributed platform that integrates communication, computation, and storage resources for performing real-time applications that can be directly accessed from the cloud. A step toward the industrial Internet revolution, industrial edge computing is designed to facilitate agile connectivity, real-time control, and data optimization, while enabling intelligent applications, ensuring tight security, and protecting privacy. Industrial edge computing makes use of what is known as edge computing nodes (ECNs), which bridge the gap between the physical world and the digital world by acting as smart gateways for assets, services, and systems. The IEEE P2805 Standards are being developed for defining protocols for self-management, data acquisition, and machine learning through cloud-edge collaboration on ECNs.
AB - The term industrial edge computing is used to describe a distributed platform that integrates communication, computation, and storage resources for performing real-time applications that can be directly accessed from the cloud. A step toward the industrial Internet revolution, industrial edge computing is designed to facilitate agile connectivity, real-time control, and data optimization, while enabling intelligent applications, ensuring tight security, and protecting privacy. Industrial edge computing makes use of what is known as edge computing nodes (ECNs), which bridge the gap between the physical world and the digital world by acting as smart gateways for assets, services, and systems. The IEEE P2805 Standards are being developed for defining protocols for self-management, data acquisition, and machine learning through cloud-edge collaboration on ECNs.
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U2 - 10.1109/MIE.2019.2943283
DO - 10.1109/MIE.2019.2943283
M3 - Article
AN - SCOPUS:85077330799
SN - 1932-4529
VL - 13
SP - 48
EP - 56
JO - IEEE Industrial Electronics Magazine
JF - IEEE Industrial Electronics Magazine
IS - 4
M1 - 8941000
ER -