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RealMon: 处理低质量SNMP数据流的实时监测系统

李人和1,宫学庆1,常建龙2,周游弋1,周红福1,周傲英1   

  1. 1. 复旦大学计算机科学与工程系, 上海 200433; 2. 上海电信, 上海 200120
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2006-10-24 发布日期:2006-10-24
  • 通讯作者: 李人和

RealMon: a real stream monitoring system for low quality SNMP data

LI Ren-he1,GONG Xue-qing1,CHANG Jian-long 2, ZHOU You-yi1,ZHOU Hong-fu 1,ZHOU Ao-ying1   

  1. 1. Computer Science and Engineering, Fudan University, Shanghai 200433, China;2. Shanghai Telecom, Shanghai 200120, China
  • Received:1900-01-01 Revised:1900-01-01 Online:2006-10-24 Published:2006-10-24
  • Contact: LI Ren-he

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。

关键词: 数据清洗, 数据流监测, SNMP数据

Abstract: A data stream monitoring system, named 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 efficiently in a simulated environment.

Key words: SNMP flow data , stream data mining, stream data cleansing

中图分类号: 

  • TP311
[1] 李俊奎,王元珍,李 专 . Azszp: 一种基于规则的数据清洗方案[J]. J4, 2007, 42(9): 71-74 .
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