DocumentCode :
183095
Title :
A MapReduce based parallel algorithm for CIM data verification
Author :
Liu, Yang ; Shen, Xiaodong ; Xu, Lixiong ; Li, Maozhen
Author_Institution :
School of Electrical Engineering and Information Systems, Sichuan University, Chengdu, China
fYear :
2014
fDate :
19-21 Aug. 2014
Firstpage :
745
Lastpage :
750
Abstract :
At present, the power system is building up on top of a series of auxiliary systems for examples communication systems, monitoring systems, marketing systems and so on. All the systems work based on the shared power system data which are defined using Common Information Model (CIM). Due to diversiform reasons, errors may exist in the data. Therefore the verification technologies are developed. So far the researchers mainly focus on the accuracy of the verification. However, along with the volume of data increasing, efficiency has become an issue. This paper proposes a CIM verifying algorithm based on MapReduce in terms of efficiency improvement. The experimental results show that it can enhance the performance of verification.
Keywords :
Algorithm design and analysis; Clustering algorithms; Computer integrated manufacturing; Data models; Distributed databases; Power systems; XML; CIM; MapReduce; cluster; distributed; verification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems and Knowledge Discovery (FSKD), 2014 11th International Conference on
Conference_Location :
Xiamen, China
Print_ISBN :
978-1-4799-5147-5
Type :
conf
DOI :
10.1109/FSKD.2014.6980929
Filename :
6980929
Link To Document :
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