Network administrator assistance system based on fuzzy c-means analysis

Benhui Chen, Takayuki Furuzuki, Lihua Duan, Yinglong Gu

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

In this research we design a network administrator assistance system based on traffic measurement and fuzzy c-means (FCM) clustering analysis method. Network traffic measurement is an essential tool for monitoring and controlling communication network. It can provide valuable information about network traffic-load patterns and performances. The proposed system utilizes the FCM method to analyze users' network behaviors and traffic-load patterns based on traffic measurement data of IP network. Analysis results can be used as assistance for administrator to determine efficient controlling and configuring parameters of network management systems. The system is applied in Dali University campus network, and it is effective in practice.

Original languageEnglish
Pages (from-to)91-96
Number of pages6
JournalJournal of Advanced Computational Intelligence and Intelligent Informatics
Volume13
Issue number2
Publication statusPublished - 2009 Mar

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Network management
Telecommunication networks
Monitoring

Keywords

  • FCM
  • Network behavior
  • Network configuration
  • Network traffic measurement
  • Traffic-load pattern

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction

Cite this

Network administrator assistance system based on fuzzy c-means analysis. / Chen, Benhui; Furuzuki, Takayuki; Duan, Lihua; Gu, Yinglong.

In: Journal of Advanced Computational Intelligence and Intelligent Informatics, Vol. 13, No. 2, 03.2009, p. 91-96.

Research output: Contribution to journalArticle

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