DocumentCode
3458100
Title
Cluster: An Effective Solution to the Problem of Heavy-Tailed Distribution in P2P Networks
Author
Wei, Guiyi ; Gu, Ye ; Ge, Yujia
Author_Institution
Coll. of Comput. & Inf. Eng., Zhejiang Gongshang Univ., Hangzhou, China
fYear
2009
fDate
June 30 2009-July 2 2009
Firstpage
1397
Lastpage
1402
Abstract
Unstructured peer-to-peer (P2P) network is a prevalent model in current P2P networks. In such systems, due to the existence of free-riders, some users cannot finally complete their download tasks for the scarcity of certain resources. Many unstructured P2P models divide download files into chunks. This paper introduces a working model called cluster to solve the heavy-tailed problem in file downloads. It analyses the distribution of file chunks and increases the replication speed of the rarest chunks transmitted among the group. Our simulation experiments show the proposed model can transmit the rarest chunk efficiently and improve the overall download completion rate.
Keywords
peer-to-peer computing; P2P networks; file chunks distribution; heavy-tailed distribution; unstructured peer-to-peer network; Bandwidth; Clustering algorithms; Collaborative work; Computer networks; Distributed computing; Educational institutions; Heuristic algorithms; Peer to peer computing; Robustness; Scalability; P2P network; cluster; long-tail;
fLanguage
English
Publisher
ieee
Conference_Titel
New Trends in Information and Service Science, 2009. NISS '09. International Conference on
Conference_Location
Beijing
Print_ISBN
978-0-7695-3687-3
Type
conf
DOI
10.1109/NISS.2009.218
Filename
5260578
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