Paper Info
Title
Stochastic analysis of self-sustainability in peer-assisted VoD systems
Abstract
We consider a peer-assisted Video-on-demand system, in which video distribution is supported both by peers caching the whole video and by peers concurrently downloading it. We propose a stochastic fluid framework that allows to characterize the additional bandwidth requested from the servers to satisfy all users watching a given video. We obtain analytical upper bounds to the server bandwidth needed in the case in which users download the video content sequentially. We also present a methodology to obtain exact solutions for special cases of peer upload bandwidth distribution. Our bounds permit to tightly characterize the performance of peer-assisted VoD systems as the number of users increases, for both sequential and non-sequential delivery schemes. In particular, we rigorously prove that the simple sequential scheme is asymptotically optimal both in the bandwidth surplus and in the bandwidth deficit mode, and that peer-assisted systems become totally self-sustaining in the surplus mode as the number of users grows large.
Year
DOI
Venue
2012
10.1109/INFCOM.2012.6195521
Orlando, FL
Keywords
Field
DocType
peer-to-peer computing,stochastic processes,video on demand,bandwidth deficit mode,bandwidth surplus,nonsequential delivery schemes,peer upload bandwidth distribution,peer-assisted VoD systems,peer-assisted video-on-demand system,selfsustainability,server bandwidth,stochastic analysis,stochastic fluid framework,video content,video distribution
Random variable,Upper and lower bounds,Computer science,Upload,Server,Stochastic process,Download,Computer network,Bandwidth (signal processing),Asymptotically optimal algorithm,Distributed computing
Conference
ISSN
ISBN
Citations 
0743-166X
978-1-4673-0773-4
15
PageRank 
References 
Authors
0.75
11
4
Name
Order
Citations
PageRank
Ciullo, D.1150.75
Martina, V.2302.13
M. Garetto3908.77
E. Leonardi41830146.87