Open AccessEdge Computing in Smart Hydropower Station: Cloud-Edge Collaborative Framework
Author(s) -
Yuanlin Luo,
B. Zheng,
Yu Wu,
Jiong Lu
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1971/1/012097
Subject(s) - cloud computing , enhanced data rates for gsm evolution , edge computing , complementarity (molecular biology) , computer science , edge device , the internet , distributed computing , computer security , telecommunications , world wide web , operating system , biology , genetics
With the deepening of energy revolution, smart hydropower station (SHS) has become the demand and inevitable direction of technological revolution and upgrading development of hydropower industry in China. Under the background of power Internet of Things and SHS, the massive sampled data perceived by intelligent terminals of SHS poses a major challenge to the traditional cloud computing centralized processing mode. As an important supplement to cloud computing, edge computing has received extensive attention from the power system. According to the complementarity between edge computing and cloud computing, this paper proposes a cloud-edge collaborative framework based on the introduction of SHS. Secondly, orienting the application in SHS, the key technologies of cloud-edge collaborative are discussed. Finally, the solutions based on cloud-edge collaborative for two typical application are discussed.