Research Article
On Improving Network Locality in BitTorrent-Like Systems
@INPROCEEDINGS{10.1007/978-3-642-10485-5_5, author={Yun-Chiu Ching and Ching-Hsien Hsu and Kuan-Ching Li}, title={On Improving Network Locality in BitTorrent-Like Systems}, proceedings={Scalable Information Systems. 4th International ICST Conference, INFOSCALE 2009, Hong Kong, June 10-11, 2009, Revised Selected Papers}, proceedings_a={INFOSCALE}, year={2012}, month={5}, keywords={Peer-to-Peer cross-ISP traffic peer collaboration strategy biased neighbor selection}, doi={10.1007/978-3-642-10485-5_5} }- Yun-Chiu Ching
Ching-Hsien Hsu
Kuan-Ching Li
Year: 2012
On Improving Network Locality in BitTorrent-Like Systems
INFOSCALE
Springer
DOI: 10.1007/978-3-642-10485-5_5
Abstract
The emerging Peer-to-Peer (P2P) model has become a very popular paradigm for developing Internet-scale systems. The BitTorrent is an example of P2P system for sharing resources, including files and documents. Owing to the peer does not have the capability of locality aware, it cannot differentiate its neighbors belong to which Internet Service Provider (ISP), file sharing results in a large number of cross-ISP traffic (about 70%). ISPs often control BitTorrent traffic by bandwidth limiting for reducing cross-ISP traffic. In this paper, we propose an adaptive peer collaboration strategy to reduce cross-ISP traffic without additional equipment and backup mechanism, which means decreasing the cost of additional equipment. Internal peers can collaborate indirectly. In peer collaboration strategy, a peer chooses most of its neighbors from internal ISP as itself, and only a few from external ISPs for reducing transfer of cross-ISP by biased neighbor selection. Second, in order to decrease redundancy, we employ Advanced Tracker (AT) to record the information of pieces that owned by each ISP. Finally, we adopt dynamic priority allocation for improving the file download time. Experimental results show that our peer collaboration strategy outperforms previous approaches, decreases redundancy and decreases the file download time remarkably.