scholarly journals Efficient and Privacy-Preserving Massive Data Processing for Smart Grids

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Hua Shen ◽  
Mingwu Zhang ◽  
Hao Wang ◽  
Fuchun Guo ◽  
Willy Susilo
2020 ◽  
Vol 2020 ◽  
pp. 1-2
Author(s):  
Feng Wang ◽  
Wenda Cao ◽  
Denis Bastieri ◽  
Junhui Fan ◽  
Chenzhou Cui

2012 ◽  
Vol 6-7 ◽  
pp. 1036-1040
Author(s):  
Bao An Li

Big data problem has caused widespread concern from industry to academia in recent years. As the amount of data produced by various industries and sectors of rapid growth, increasing demands on data processing and analysis capabilities, how to face the challenges of data, discover new opportunities, the issue has received wide attention. As a traditional industry, the oil drilling or refinery enterprise is facing the operational status of the system to produce large amounts of data. This text introduced an approach to massive data processing for oil enterprise based on cloud computing and Internet of Things.


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