Network Administrator Assistance System Based on Fuzzy C-means Analysis
Benhui Chen*, Jinglu Hu*, Lihua Duan**, and Yinglong Gu**
* Graduate School of Information, Production and Systems, Waseda University
2-7 Hibikino, Wakamatsu, Kitakyushu-shi, Fukuoka, 808-0135, Japan
** Dali University Gucheng Xuefu Road of Dali City, Yunnan, 671007, China
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.
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