Big data analysis algorithm research on alarm correlation of communication system

袁静; 李大伟; 陆绍雯; 雷鹏

doi:10.13992/j.cnki.tetas.2019.05.018

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Big data analysis algorithm research on alarm correlation of communication system

更新时间：2026-04-20

- Big data analysis algorithm research on alarm correlation of communication system
- Vol. 32, Issue 5, Pages: 80-84(2019)
- 作者机构：
  
  1. 中国移动通信集团设计院有限公司
  2. 中国移动通信集团公司
  3. 中国移动通信集团设计院有限公司山东分公司
- 作者简介：
- 基金信息：
- DOI：10.13992/j.cnki.tetas.2019.05.018
  CLC： TP311.13;TP277
- Published：2019
- 稿件说明：
移动端阅览
[1]袁静,李大伟,陆绍雯,雷鹏.智能监控应用平台告警关联大数据分析算法研究[J].电信工程技术与标准化,2019,32(05):80-84.

袁静, 李大伟, 陆绍雯, et al. Big data analysis algorithm research on alarm correlation of communication system[J]. 2019, 32(5): 80-84.
[1]袁静,李大伟,陆绍雯,雷鹏.智能监控应用平台告警关联大数据分析算法研究[J].电信工程技术与标准化,2019,32(05):80-84. DOI： 10.13992/j.cnki.tetas.2019.05.018.

袁静, 李大伟, 陆绍雯, et al. Big data analysis algorithm research on alarm correlation of communication system[J]. 2019, 32(5): 80-84. DOI： 10.13992/j.cnki.tetas.2019.05.018.

摘要

本文以支撑故障管理体系为目标

构建基于Spark/Hadoop的电信网络智能监控应用平台并实现对海量告警数据的挖掘与分析

研究基于距离的告警关联大数据分析算法

实现告警自关联及故障快速定位。通过对实际数据的测试及分析

该方法能够实现告警关联的自动化、智能化

聚合原有关联规则以提升规则有效性

提升了告警压缩率和故障命中率。

Abstract

Based on the general requirement of the existing network centralized alarm monitoring and fault handling

the technology architecture of intelligent monitoring system based on Spark/Hadoop was proposed which can dig and analyze massive alarm data. A distance-based alarm big data correlation analysis algorithm was mainly studied. Through analyzing the actual data

this method can automatically and intelligently correlate the alarms and aggregate the rules of alarm correlation so as to enhance the validity of the rules and improve the alarm compression ratio and the trouble-shooting ratio.

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