Paper Info
Title
Segmented P2P video-on-demand: Modeling and performance
Abstract
In a segmented peer-to-peer video-on-demand system the video file is split into a number of segments and the downloading of the video file proceeds in a more or less sequential manner from one segment to another (i.e., in stages). We present an analytical fluid model for such systems. Notably, for this model we derive an explicit condition when the system has a unique positive steady-state solution and that the viewing quality is acceptable. The analytical results are complemented with extensive simulations from the corresponding stochastic model, as well as traces from a more realistic BitTorrent simulator.
Year
DOI
Venue
2010
10.1109/ITC.2010.5608744
International Teletraffic Congress
Keywords
Field
DocType
image segmentation,peer-to-peer computing,stochastic processes,video on demand,video signal processing,BitTorrent simulator,analytical fluid model,segmented P2P video-on-demand,segmented peer-to-peer video-on-demand system,stochastic model,video file downloading,viewing quality
On demand,Computer science,Upload,Computer network,Peer to peer computing,Stochastic process,Real-time computing,Image segmentation,Stochastic modelling,BitTorrent,Integrated circuit
Conference
ISBN
Citations 
PageRank 
978-1-4244-8835-3
0
0.34
References 
Authors
0
4
Name
Order
Citations
PageRank
Samuli Aalto137541.79
Pasi Lassila237624.03
Petri Savolainen31018.17
Sasu Tarkoma41312125.76