SMART: A system for online monitoring large volumes of network traffic

Aoying Zhou, Ying Yan, Xueqing Gong, Jianlong Chang, Dai Dai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Network traffic monitoring have been gaining attentions due to its importance in telecom industry. However, the monitoring systems deployed in telecom operators are usually too slow because of their disk-based processing approach. To address this problem, an online network traffic monitoring system, named SMART, is designed and developed. The system converts different formats of raw Netflow data (Netflow IPv5, IPv7 and IPv9) to user-defined control flows through combination and filtering. It can compute top-k frequent flows with sliding window, detects burst on arbitrary attributes, and presents results visually to users. The system could be used to replace the traditional offline monitoring system used in Shanghai Telecom. In its daily operation, it is shown that the processing speed achieves 30,000 flows per second. The basis of advanced streaming algorithms and design of robust system architecture enable SMART to achieve good performance.

Original languageEnglish
Title of host publicationProceedings of the 2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Pages1576-1579
Number of pages4
DOIs
StatePublished - 2008
Event2008 IEEE 24th International Conference on Data Engineering, ICDE'08 - Cancun, Mexico
Duration: 7 Apr 200812 Apr 2008

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Conference

Conference2008 IEEE 24th International Conference on Data Engineering, ICDE'08
Country/TerritoryMexico
CityCancun
Period7/04/0812/04/08

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