T2MC: A peer-to-peer mismatch reduction technique by traceroute and 2-means classification algorithm

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Abstract

The Peer-to-Peer (P2P) technology has many potential advantages, including high scalability and cost-effectiveness. However, most P2P system performance suffers from the mismatch between the overlays topology and the underlying physical network topology, causing a large volume of redundant traffic in the Internet. A lot of research works have been presented to address this issue, but most results still have some drawbacks. In this paper, we propose a quite simple but efficient topology matching technique, T2MC, which uses the peers' Traceroute result to execute 2-Means Classification, thereafter lets peers to build efficient "close" cluster. By performing experiments using the measured realistic Internet data of China, we show that T2MC outperforms the well-known GNP in both aspects of accuracy and maintenance cost. © 2008 Springer-Verlag Berlin Heidelberg.

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Shi, G., Long, Y., Chen, J., Gong, H., & Zhang, H. (2008). T2MC: A peer-to-peer mismatch reduction technique by traceroute and 2-means classification algorithm. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4982 LNCS, pp. 366–374). https://doi.org/10.1007/978-3-540-79549-0_32

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