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