通信网告警相关性分析与仿真设计系统

Network Alarm Correlation Analysis and Simulation Design System

通信网络系统特点是规模大、结构复杂、异构性、高度分布。管理如此复杂的网络变得越来越困难,尤其在故障管理方面。数据挖掘为告警相关性分析中知识获取提供了新的途径。本文简要介绍了数据挖掘技术的概念,并阐述了关联规则挖掘算法和将其应用于通信网告警相关性分析的基本方法。

Communication network system is characterized by large-scale, complex, heterogeneous and a high degree of distribution . The network management of so complex communication networks becomes more and more difficult, especially in fault management. Data mining provides a new approach of the knowledge updating during the alarm correlation analyzing. This article firstly introduces the conception of data mining briefly, then illustrates assoeiation rule mining algorithm and basic methods used in correlation analysis of communications network in detail.