On the identification and analysis of p2p traffic aggregation

Authors:
Trang Dinh Dang;Marcell Perényi;András Gefferth;Sándor Molnár
Affiliations:
High Speed Networks Laboratory, Dept. of Telecommunications & Media Informatics, Budapest University of Technology & Economics, Budapest, Hungary;High Speed Networks Laboratory, Dept. of Telecommunications & Media Informatics, Budapest University of Technology & Economics, Budapest, Hungary;High Speed Networks Laboratory, Dept. of Telecommunications & Media Informatics, Budapest University of Technology & Economics, Budapest, Hungary;High Speed Networks Laboratory, Dept. of Telecommunications & Media Informatics, Budapest University of Technology & Economics, Budapest, Hungary
Venue:
NETWORKING'06 Proceedings of the 5th international IFIP-TC6 conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communications Systems
Year:
2006

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Abstract

The main purpose of this paper is twofold. First, we propose a novel identification method to reveal P2P traffic from traffic aggregation. Our method is based on a set of heuristics derived from the robust properties of P2P traffic. We show the high accuracy of the proposed algorithm based on a validation study. Second, several results of a comprehensive traffic analysis, focusing on the differences between P2P and non-P2P traffic, are reported in the paper. Our results show that the unique properties of P2P application traffic seem to fade away during aggregation and characteristics of the traffic will be similar to that of other non-P2P traffic aggregation.