中国电力2017，Vol.50Issue(8)：146-149,184,5.DOI:10.11930/j.issn.1004-9649.2017.08.146.04
基于BP神经网络的信息系统故障自动恢复技术
Research and Application of Information System Fault Automatic Recovery Technology Based on BP Neural Network
闫龙川 1张晓亮 1杨猛 1刘冬梅1
作者信息
- 1. 国家电网公司信息通信分公司,北京 100761
- 折叠
摘要
Abstract
There are a large number of information system equipments in data center.It is so often that fault of single device hardware or software occurs.In order to protect the business continued service,the rapid recovery and automatic processing of the fault is necessary.In this paper,we mainly study the automatic recovery technology of the information system,and use the BP neural network to evaluate the software and hardware status and to predict the system capacity.An automatic disposal script set is constructed.Combined with the problem processing knowledge base on system status and script matching,the automatic recovery of the typical problems of information system is realized.From our experiments,the proposed method is feasible and can be used in data center.关键词
电力系统/信息系统/故障/BP神经网络/自动恢复/运维效率Key words
power system/information system/fault/BP neural network/automatic recovery/openation and maintenance efficiency分类
信息技术与安全科学引用本文复制引用
闫龙川,张晓亮,杨猛,刘冬梅..基于BP神经网络的信息系统故障自动恢复技术[J].中国电力,2017,50(8):146-149,184,5.
