Title
Improving BitTorrent Traffic Performance by Exploiting Geographic Locality
Abstract
Current implementations of BitTorrent-like P2P applications ignore the underlying Internet topology hence incur a large amount of traffic both inside an Internet Service Provider (ISP)' national backbone networks and over cross-ISP internetworking links. These traffics not only occupy costly bandwidth, but also increase user perceived response latency. ISP-Biased Neighbor Selection proposes to exploit peers' topological locality by biased neighbor selection, in which a peer chooses the majority of its neighbors from peers within the same ISP. In this paper, we propose to further exploit peers' geographic locality. First we improved ISP-Biased Neighbor Selection (ISP-Biased+) to take into consideration network locality (or, city locations) within the same ISP. When required neighbor number is relatively much less than seeds available, ISP-Biased Neighbor Selection+ performs much better than original approach, proved by simulations. Next, we propose that a peer could also choose its neighbors from peers of different ISPs within the same city with priority: assist by a well-know Chinese operator's unique ISP-internetworking content distribution network (CDN), these local cross-ISP traffics can be routed through local CDN cite. Using simulations, we show that cross-ISP traffic burden can be completely shifted to CDN local links and backbone traffic. At the same time, user perceived delay can be significantly reduced.
Year
DOI
Venue
2008
10.1109/GLOCOM.2008.ECP.478
IEEE Global Telecommunications Conference (Globecom)
Keywords
Field
DocType
network topology,bittorrent,internet topology,topology,internet,p2p
Internet topology,Locality,Computer science,Latency (engineering),Computer network,Network topology,Exploit,Internetworking,BitTorrent,The Internet
Conference
ISSN
Citations 
PageRank 
1930-529X
4
0.44
References 
Authors
4
5
Name
Order
Citations
PageRank
Chen Tian1111984.93
Xue Liu23058193.41
Hongbo Jiang398580.52
Wenyu Liu43131170.07
Yi Wang53514.57