基于关联分析的高校校园网告警系统

随着高校校区的扩大,网络规模越来越大,结构也趋于复杂、异构,这就需要对网络进行有效的管理以维持其可靠性和可用性.告警相关性分析作为网络故障管理中的重要内容,有助于处理冗余告警、定位故障及预防故障的发生.提出使用关联规则分析的告警系统,这些规则可以作为先验知识来指导网络智能化故障定位、诊断和预测.

Alarm management for Campus-Network based on Correlated Rules Mining

With the high-speed development of Campus-Network industry,this network are characterized with large scale,complexity and heterogeneity,we know that that have to manage telecommunication networks effectively to maintain their high reliability and high usability.Alarm correlation analysis is an important problem in network fault management.It could help network administrators to delete redundant alarms,locate faults and predict faults event before they happen.The main works and contributions in this paper are follows with The Alarm management base on Correlated Rules Ming.This kind of knowledge could be used to guide the intelligent network fault location,diagenosis and forecasting.