中文摘要：

提出了一个新颖的数据流监测系统RealMon的设计和实现。该系统能够在大量的网络流量数据中通过分析不同数据流之间的关联关系及时地检测出数据异常。通过应用数据流挖掘算法，该系统能够对电信骨干网络的SNMP流量数据进行监测。同时为了解决所采集SNMP数据中存在着的大量数据质量问题，该系统集成了数据流清洗算法，该算法能够实时处理SNMP数据来提高所采集数据的质量。在模拟环境中的测试表明，该系统能够在SNMP数据流上同时对数千条链路进行有效监测。

英文摘要：

A data stream monitoring system, ,amed RealMon, was designed to discover correlations and detect anomalies among thousands of network links. Some renowned algorithms for data stream analysis were implemented in this system to monitor the huge amount of simple network management protocol messages, which were collected from routers in the telecom backbone network. Some data cleansing algorithms were also integrated into the system to address the data quality problem among SNMP messages, and such a function features RealMon system. Moreover, a user-friendly console interface was developed for network administrators. The experiments show that the system could perform efficiendy in a simulated environment.