Title
Window-based streaming Video-on-Demand transmission on BitTorrent-like Peer-to-Peer networks
Abstract
Peer-to-Peer (P2P) networks are distributed systems where no central authority rules the behavior of the individual peers. These systems relay on the voluntary participation of the peers to help each other and reduce congestion at the data servers. BitTorrent is a popular file-sharing P2P application originally designed for non real-time data. Given the inherent characteristics of these systems, they have been considered to alleviate part of the traffic in conventional networks, particularly for streaming stored playback Video-on-Demand services. In this work, a window-based peer selection strategy for managed P2P networks is proposed. The basic idea is to select the downloader peers according to their progress in the file download process relative to the progress of the downloading peers. The aforementioned strategy is analyzed using both a fluid model and a Continuous Time Markov Chain. Also, abundance conditions in the system are identified.
Year
DOI
Venue
2013
10.1109/CCNC.2013.6488417
Consumer Communications and Networking Conference
Keywords
Field
DocType
Markov processes,file servers,peer-to-peer computing,telecommunication traffic,video on demand,video streaming,BitTorrent-like peer-to-peer networks,P2P networks,central authority,continuous time Markov chain,conventional network traffic,data server congestion,distributed systems,downloader peers,file download process,file-sharing P2P application,fluid model,non real-time data,stored playback video-on-demand services,voluntary participation,window-based peer selection strategy,window-based streaming video-on-demand transmission,BitTorrent,Peer-to-peer Network,Streaming Stored Playback Video-on-Demand
BitTorrent tracker,File server,Markov process,Peer-to-peer,Computer science,Upload,Server,Computer network,Dead Peer Detection,BitTorrent,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-4673-3131-9
0
0.34
References 
Authors
7
4