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Internet Traffic Classification for Scalable QOS Provision

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3 Author(s)
Junghun Park ; Integrated Media Systems Center and Department of Electrical Engineering, University of Southern California, Los Angeles, CA 90089-2564. E-mail: junghunp@usc.edu ; Hsiao-rong Tyan ; C. -c. Jay Kuo

A new scheme that classifies the Internet traffic according to their application types for scalable QoS provision is proposed in this work. The traditional port-based classification method does not yield satisfactory performance, since the same port can be shared by multiple applications. Furthermore, asymmetric routing and errors of modern measurement tools such as PCF and NetFlow degrades the classification performance. To address these issues, the proposed classification process consists of two steps: feature selection and classification. Candidate features that can be obtained easily by ISP are examined. Then, we perform feature reduction so as to balance the performance and complexity. As to classification, the REPTree and the bagging schemes are adopted and compared. It is demonstrated by simulations with real data that the proposed classification scheme outperforms existing techniques

Published in:

2006 IEEE International Conference on Multimedia and Expo

Date of Conference:

9-12 July 2006