基于大数据的网络隐患分析系统研究与应用
Research and Application of Network Hazard Analysis System Based on Big Data
张蕊 1黄剑波 1王如玥 1朱坤元 1詹鹏飞1
作者信息
- 1. 中国移动通信集团公司,广东 广州 510000
- 折叠
摘要
文章提出了一种基于大数据技术的应用方式,通过挖掘告警强关联规则深入挖掘网络故障隐患,提升故障及隐患处理效率;通过构建季节性时间序列分析模型揭示历史数据中故障隐患发生、发展的规律,对故障隐患进行有效预警,将故障隐患从被动处理的传统模式革新到主动处理的预控层面上.
Abstract
The article proposes an application method based on big data technology,which deeply mines network fault hidden dangers by mining strong alarm association rules,and improves the efficiency of fault and hidden danger processing;By constructing a seasonal time series analysis model to reveal the occurrence and development patterns of fault hazards in historical data,effective early warning of faults and hazards can be provided,and fault hazards can be innovated from the traditional passive processing mode to the proactive pre control level.
关键词
大数据分析/告警关联规则/故障预测Key words
big data analysis/alarm association rules/fault prediction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据