TY - GEN
T1 - Accelerating peer-to-peer file sharing with social relations
T2 - IEEE Conference on Computer Communications, INFOCOM 2012
AU - Wang, Haiyang
AU - Wang, Feng
AU - Liu, Jiangchuan
PY - 2012
Y1 - 2012
N2 - Peer-to-peer file sharing systems, most notably Bit-Torrent (BT), have achieved tremendous success among Internet users. Recent studies suggest that long-term relationships among BT peers could be explored for peer cooperation, so as to achieve better sharing efficiency. However, whether such long-term relationships exist remain unknown. From an 80-day trace of 100, 000 real world swarms, we find that less than 5% peers can meet each other again throughout the whole period, which largely invalidates the fundamental assumption of these peer cooperation protocols. Yet the recent emergence of online social network applications sheds new light on this problem. In particular, a number of BT swarms are now triggered by Twitter, reflecting a new trend for initializing sharing among communities. In this paper, we for the first time examine the challenges and potentials of accelerating peer-to-peer file sharing with Twitter social networks. We show that the peers in such swarms have stronger temporal locality, thus offering great opportunity for improving their degree of sharing. We further demonstrate a practical cooperation protocol that utilizes the social relations. Our PlanetLab experiments indicate that the incorporation of social relations remarkably accelerates the downloading time.
AB - Peer-to-peer file sharing systems, most notably Bit-Torrent (BT), have achieved tremendous success among Internet users. Recent studies suggest that long-term relationships among BT peers could be explored for peer cooperation, so as to achieve better sharing efficiency. However, whether such long-term relationships exist remain unknown. From an 80-day trace of 100, 000 real world swarms, we find that less than 5% peers can meet each other again throughout the whole period, which largely invalidates the fundamental assumption of these peer cooperation protocols. Yet the recent emergence of online social network applications sheds new light on this problem. In particular, a number of BT swarms are now triggered by Twitter, reflecting a new trend for initializing sharing among communities. In this paper, we for the first time examine the challenges and potentials of accelerating peer-to-peer file sharing with Twitter social networks. We show that the peers in such swarms have stronger temporal locality, thus offering great opportunity for improving their degree of sharing. We further demonstrate a practical cooperation protocol that utilizes the social relations. Our PlanetLab experiments indicate that the incorporation of social relations remarkably accelerates the downloading time.
UR - http://www.scopus.com/inward/record.url?scp=84861584873&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84861584873&partnerID=8YFLogxK
U2 - 10.1109/INFCOM.2012.6195722
DO - 10.1109/INFCOM.2012.6195722
M3 - Conference contribution
AN - SCOPUS:84861584873
SN - 9781467307758
T3 - Proceedings - IEEE INFOCOM
SP - 2891
EP - 2895
BT - 2012 Proceedings IEEE INFOCOM, INFOCOM 2012
Y2 - 25 March 2012 through 30 March 2012
ER -