DocumentCode
2489798
Title
Reducing cross-network traffic in P2P systems via localized neighbor selection
Author
Sheng, Lijie ; Wen, HaoYu
Author_Institution
Sch. of Comput. Sci. & Technol., Xidian Univ., Xi´´an, China
fYear
2009
fDate
26-28 Aug. 2009
Firstpage
1
Lastpage
5
Abstract
P2P software bring convenient and pleasure to P2P users, but become a problem of ISP, because they produce huge traffic on network, especially on cross-network links, which increases financial burden on ISP. The reason partially comes from the fact that when P2P software build their overlay network, they ignore the underlying network topology, and select neighbors randomly, so most of the traffic is between remote peers and crosses several networks. To overcome that traffic explosion problem, we propose a simple mechanism named SRF, in which most of the connections are kept locally between nearby peers, but a few shortcuts between remote peers can make P2P network robust and efficient to propagate files or media streams rapidly. With analysis we demonstrate that the overlay network constructed by SRF is ldquosmall worldrdquo network, while the overlay network constructed by regular BitTorrent is ldquorandomrdquo network. Simulation results show that SRF can reduce cross-network traffic remarkably and can accelerate download explicitly at the same time. Thus SRF benefits both ISP and P2P users.
Keywords
Internet; media streaming; peer-to-peer computing; telecommunication traffic; Internet service providers; P2P system; cross-network traffic; media streams; overlay network; peer-to-peer software; Application software; Bandwidth; Computer network management; Computer science; Financial management; Network topology; Streaming media; Telecommunication traffic; Traffic control; Web and internet services; BitTorrent; P2P; SRF; neighbor selection; overlay network; peer to peer;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Networking in China, 2009. ChinaCOM 2009. Fourth International Conference on
Conference_Location
Xian
Print_ISBN
978-1-4244-4337-6
Electronic_ISBN
978-1-4244-4337-6
Type
conf
DOI
10.1109/CHINACOM.2009.5339819
Filename
5339819
Link To Document