Distributed Storage System for Electric Power Data Based on HBase

被引:0
|
作者
Jiahui Jin [1 ]
Aibo Song [1 ]
Huan Gong [1 ]
Yingying Xue [1 ]
Mingyang Du [1 ]
Fang Dong [1 ]
Junzhou Luo [1 ]
机构
[1] School of Computer Science and Engineering, Southeast University
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
electric power data; HBase; data storage;
D O I
暂无
中图分类号
TM73 [电力系统的调度、管理、通信]; TP333 [存贮器];
学科分类号
摘要
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.
引用
收藏
页码:324 / 334
页数:11
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