DocumentCode :
43422
Title :
Inter-Swarm Content Distribution Among Private BitTorrent Networks
Author :
Chengchen Hu ; Danfeng Shan ; Yu Cheng ; Tao Qin
Author_Institution :
Dept. of Comput. Sci. & Technol., Xi´an Jiaotong Univ., Xi´an, China
Volume :
31
Issue :
9
fYear :
2013
fDate :
Sep-13
Firstpage :
132
Lastpage :
141
Abstract :
Private BitTorrent (PT) is a new trend in Peer-to-Peer file sharing system, which provides high incentives for its users to seed after download by maintaining an upload-to-download ratio in the tracker for each registered community member. From the data we collected from six active PT sites, we discover that the population of both users and contents in any single PT site is much less than the public BitTorrent, and the intersection of content sets in different PTs is quite small. Based on this observation, we propose a content sharing/distribution framework among PTs (named CrossPT), as well as its sharing mechanism. In addition, we investigate the sharing strategy of the PT participants in CrossPT using game theory and the fetch strategy by modeling the scenario to a Neighbor Selection Problem (NSP). We prove NSP to be NP-complete and propose a heuristic algorithm to solve it. The evaluations with the input of crawled data from six PT sites demonstrate the efficiency of our mechanism. The content sizes of the six PT sites can be increased by 113.95%-438.46% with CrossPT. Also, the content distribution process can be done in less than one second, excluding the delivery time of the content itself.
Keywords :
optimisation; peer-to-peer computing; CrossPT; NP-complete; NSP; PT sites; fetch strategy; game theory; heuristic algorithm; inter-swarm content distribution; neighbor selection problem; peer-to-peer file sharing system; private BitTorrent networks; upload-to-download ratio; Communities; Cost function; Games; Internet; Peer-to-peer computing; Routing; Sociology; P2P networks; Private BitTorrent; content distribution;
fLanguage :
English
Journal_Title :
Selected Areas in Communications, IEEE Journal on
Publisher :
ieee
ISSN :
0733-8716
Type :
jour
DOI :
10.1109/JSAC.2013.SUP.0513012
Filename :
6559961
Link To Document :
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