Local-Global Modeling and Distributed Computing Framework for Nonlinear Plant-Wide Process Monitoring With Industrial Big Data

2020 ◽  
pp. 1-11 ◽  
Author(s):  
Qingchao Jiang ◽  
Shifu Yan ◽  
Hui Cheng ◽  
Xuefeng Yan
Keyword(s):  
Big Data ◽  
Distributed Computing ◽  
Process Monitoring ◽  
Global Modeling ◽  
Industrial Big Data ◽  
Computing Framework ◽  
Nonlinear Plant

scholarly journals Research on Computing Efficiency of MapReduce in Big Data Environment

2019 ◽  
Vol 26 ◽  
pp. 03002
Author(s):  
Tilei Gao ◽  
Ming Yang ◽  
Rong Jiang ◽  
Yu Li ◽  
Yao Yao
Keyword(s):  
Big Data ◽  
Distributed Computing ◽  
Large Data ◽  
Time Consumption ◽  
Computing Model ◽  
Important Solution ◽  
Data Volume ◽  
Computing Framework ◽  
Data Environment

The emergence of big data has brought a great impact on traditional computing mode, the distributed computing framework represented by MapReduce has become an important solution to this problem. Based on the big data, this paper deeply studies the principle and framework of MapReduce programming. On the basis of mastering the principle and framework of MapReduce programming, the time consumption of distributed computing framework MapReduce and traditional computing model is compared with concrete programming experiments. The experiment shows that MapReduce has great advantages in large data volume.

Research and Design of the Distributed Mass Small File Storage System Based on WCF

2013 ◽  
Vol 765-767 ◽  
pp. 1087-1091
Author(s):  
Hong Lin ◽  
Shou Gang Chen ◽  
Bao Hui Wang
Keyword(s):  
Fault Tolerance ◽  
Distributed Computing ◽  
Data Storage ◽  
Large Scale ◽  
Storage System ◽  
Hardware Platform ◽  
File Storage ◽  
Computing Framework ◽  
Research And Design ◽  
Small File

Recently, with the development of Internet and the coming of new application modes, data storage has some new characters and new requirements. In this paper, a Distributed Computing Framework Mass Small File storage System (For short:Dnet FS) based on Windows Communication Foundation in .Net platform is presented, which is lightweight, good-expansibility, running in cheap hardware platform, supporting Large-scale concurrent access, and having certain fault-tolerance. The framework of this system is analyzed and the performance of this system is tested and compared. All of these prove this system meet requirements.

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