基于时间、空间和规则的无线网络告警关联方法

无线网络应用的普及使网络故障管理成为网络运维的关键。为了从大量的网络告警数据中快速准确地找到告警、定位根源故障,提出了一种基于时间、空间和规则的无线网络告警关联方法。该方法基于专家规则库、网络拓扑结构,以及告警的时间序列,将时间、空间、传统单一的规则告警关联方法相结合,综合定位根源告警；针对大型复杂网络结构,采用层次关联的方法, 针对大型复杂网络结构,采用层次关联的方法,先找到产生告警的子网,再从该子网的节点间找到产生告警的节点；同时,通过动态维护网络拓扑结构和专家规则库,能够适应无线网络的动态变化特点。实验结果表明,提出的基于时间、空间和规则的告警关联方法的准确率为86.6%。

Wireless Network Alarm Correlation Based on Time,Space and Rules

The generation of a wireless network alarm is caused by multiple faults that occurs over a period of time in a complex wireless network.How to find the root alarm of the root fault quickly and accurately is an important issue for network managers.This paper presented a method of wireless network alarm association based on time,space and expert rules. The method is based on rules,network topology,and time series of alarm,and the method combines the space and time with the traditional single rules alarm association method to synthetically locate the root alarm.To solve the large-scale complex network structure,the method uses a hierarchical correlation method.First it finds the subnet which generates alarm,and then locates the alarm node from subnet.At the same time,to adapt the dynamic characteristics of wireless networks,the method maintenans network topology structure and expert rule base dynamically.Experimental results demonstrate that the accuracy rate of the proposed method is 86.6%.