scholarly journals A Database Optimization Strategy for Massive Data Based Information System

Author(s):  
Qianglai Xie ◽  
Wei Yang ◽  
Leiyue Yao
2011 ◽  
Vol 403-408 ◽  
pp. 223-227
Author(s):  
Bao Ling Liu

The Supervisory Information System (SIS) [1]is widely installed in power plant of more than 300MW. Its massive data contains valuable information and resources which requires further excavation. In this paper a way of working conditions analysis based on cluster-based data mining algorithm is explored and experimented to SIS. The results illustrate that the way can identify and analyze the working conditions very well.


2013 ◽  
Vol 655-657 ◽  
pp. 1826-1829
Author(s):  
Zheng Xing Xiao

characteristics of current MIS System are massive data、diverse data and complex functions. This kind of System requires higher requirement to Storage and Computing. This paper proposes a way to resolve it by build cloud computing platform by making full use of large number of idle computers.


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