TY - CHAP
T1 - Measurement and modeling of large-scale peer-to-peer storage system
AU - Liu, Gang
AU - Hu, Mingzeng
AU - Fang, Binxing
AU - Zhang, Hongli
PY - 2004
Y1 - 2004
N2 - The peer-to-peer applications have become the killer applications in information share internet revolution. It is therefore important to analyze and evaluate network topology and its corresponding geometric characteristic of the overlay network. The peer-to-peer systems based on restricted flooding mechanism, typically Gnutella, are still the most popular peer-to-peer systems. Recently a few main peer-to-peer applications, such as BearShare, Limewire and so on, which constructed the new Gnutella network 0.6, are implemented based on Gnutella Protocol version 0.6 that makes much improvement upon version 0.4, while early measurements of peer-to-peer systems largely aimed at the systems built based on version 0.4. The paper develops a new "network crawler" to extract the topology of Gnutella network 0.6, analyze the topology graph, evaluate corresponding static geometric characteristic, and build its network mechanism model, including small-world and power-laws model.
AB - The peer-to-peer applications have become the killer applications in information share internet revolution. It is therefore important to analyze and evaluate network topology and its corresponding geometric characteristic of the overlay network. The peer-to-peer systems based on restricted flooding mechanism, typically Gnutella, are still the most popular peer-to-peer systems. Recently a few main peer-to-peer applications, such as BearShare, Limewire and so on, which constructed the new Gnutella network 0.6, are implemented based on Gnutella Protocol version 0.6 that makes much improvement upon version 0.4, while early measurements of peer-to-peer systems largely aimed at the systems built based on version 0.4. The paper develops a new "network crawler" to extract the topology of Gnutella network 0.6, analyze the topology graph, evaluate corresponding static geometric characteristic, and build its network mechanism model, including small-world and power-laws model.
UR - https://www.scopus.com/pages/publications/35048817046
U2 - 10.1007/978-3-540-30207-0_34
DO - 10.1007/978-3-540-30207-0_34
M3 - 章节
AN - SCOPUS:35048817046
SN - 3540235787
SN - 9783540235781
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 270
EP - 277
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Jin, Hai
A2 - Sun, Jianhua
A2 - Pan, Yi
A2 - Xiao, Nong
PB - Springer Verlag
ER -