Traffic Analyzing and Controlling Using Supervised Parametric Clustering in Heterogeneous Network

Provided by: Creative Commons
Topic: Networking
Format: PDF
In this paper, the authors are to maximize class purity level of dynamic network structure using the Supervised Parametric Clustering (SPC) approach. An efficient means to ensure proper flow sequence on heterogeneous network is the effective analysis of network traffic and its smooth maintenance. Several works in the literature have focused on access logs for analyzing network traffic, but investigating supervised clustering model for network analysis has received relatively less attention. On the other hand, peer-to-peer document clustering maintains privacy inside the neighborhood data boundaries, but fails on extending dynamic structure that reduces the high class purity mapping.

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