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Distributed Storage System for Electric Power Data Based on HBase

Authors :
Jiahui Jin
Aibo Song
Huan Gong
Yingying Xue
Mingyang Du
Fang Dong
Junzhou Luo
Source :
Big Data Mining and Analytics, Vol 1, Iss 4, Pp 324-334 (2018)
Publication Year :
2018
Publisher :
Tsinghua University Press, 2018.

Abstract

Managing massive electric power data is a typical big data application because electric power systems generate millions or billions of status, debugging, and error records every single day. To guarantee the safety and sustainability of electric power systems, massive electric power data need to be processed and analyzed quickly to make real-time decisions. Traditional solutions typically use relational databases to manage electric power data. However, relational databases cannot efficiently process and analyze massive electric power data when the data size increases significantly. In this paper, we show how electric power data can be managed by using HBase, a distributed database maintained by Apache. Our system consists of clients, HBase database, status monitors, data migration modules, and data fragmentation modules. We evaluate the performance of our system through a series of experiments. We also show how HBase’s parameters can be tuned to improve the efficiency of our system.

Details

Language :
English
ISSN :
20960654
Volume :
1
Issue :
4
Database :
Directory of Open Access Journals
Journal :
Big Data Mining and Analytics
Publication Type :
Academic Journal
Accession number :
edsdoj.3f700f51e37e4aa68356e4c6c4936944
Document Type :
article
Full Text :
https://doi.org/10.26599/BDMA.2018.9020026