基于Hadoop的电力运维审计系统的设计  

Design of Power Operation and Maintenance Audit System Based on Hadoop

作　　者：苏林萍[1] 安然 李为 崔文超[1] 张晓良[1] SU Lin-ping;AN Ran;LI Wei;CUI Wen-chao;ZHANG Xiao-liang(School of Control and Computer Engineering,North China Electric Power University,Beijing 102206,China)

机构地区：[1]华北电力大学控制与计算机工程学院

出　　处：《计算机与现代化》2020年第1期49-52,116,共5页Computer and Modernization

基　　金：国家电网公司科技项目(521304190004)

摘　　要：国家电网公司信息化程度越来越高,单机运维审计系统产生的数据量日益增多,对海量数据高效率存储分析性能严重下降,系统稳定性降低。为满足国家电网当前对运维审计系统数据存储分析以及系统稳定性的需求,在Hadoop开源架构的基础上,本文提出基于Hadoop集群的海量数据分布式存储方法和基于Heartbeat的心跳检测技术,实现基于Hadoop的电力运维审计系统。实验测试结果表明,基于Hadoop的电力运维审计系统相比单机系统可用性提高了8. 42%,大大提升了存储分析海量数据的性能,具有系统工作稳定和服务不间断等优势。State Grid is becoming more and more informative. The amount of data generated by single-machine operation and maintenance audit system is increasing. The performance of high-efficiency storage analysis for massive data is seriously degraded,and system stability is reduced. In order to meet the requirement of State Grid for data storage analysis and system stability of the operation and maintenance audit system,based on the Hadoop open source architecture,the paper proposes a massive data distributed storage method based on Hadoop cluster and heartbeat detection technology based on Heartbeat,and designs a power operation and maintenance audit system based on Hadoop. The experimental results show that the availability of power operation and maintenance audit system is increased by 8. 42% compared to stand-machine system. The performance of massive data for storage analysis is greatly improved. It has the advantages of stable system operation and uninterrupted service.

关 键 词：运维审计 HADOOP 数据存储 集群 HEARTBEAT 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]