Name
Abstract | ||
|---|---|---|
We analyze a peer-assisted Video-on-Demand (VoD) system in which users contribute their upload bandwidth to the redistribution of a video that they are downloading or that they have cached locally. Our target is to characterize the additional bandwidth that servers must supply to immediately satisfy all requests to watch a given video. We develop an approximate fluid model to compute the required server bandwidth in the sequential delivery case, as well as in controlled nonsequential swarms. Our approach is able to capture several stochastic effects related to peer churn, upload bandwidth heterogeneity, and nonstationary traffic conditions, which have not been documented or analyzed before. Finally, we provide important hints for the design of efficient peer-assisted VoD systems under server capacity constraints. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TPDS.2013.300 | Parallel and Distributed Systems, IEEE Transactions |
Keywords | Field | DocType |
network servers,stochastic systems,telecommunication traffic,video on demand,controlled nonsequential swarms,fluid model,nonstationary traffic,peer churn,peer-assisted VoD systems,sequential delivery,server bandwidth,server capacity constraints,stochastic effects,upload bandwidth,video redistribution,video-on-demand system,Video-on-demand,peer-to-peer,performance evaluation | Random variable,Peer-to-peer,Cache,Computer science,Server,Upload,Computer network,Peer to peer computing,Real-time computing,Bandwidth (signal processing),Traffic conditions,Distributed computing | Journal |
Volume | Issue | ISSN |
25 | 7 | 1045-9219 |
Citations | PageRank | References |
3 | 0.38 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ciullo, D. | 1 | 5 | 0.76 |
| Martina, V. | 2 | 30 | 2.13 |
| M. Garetto | 3 | 90 | 8.77 |
| E. Leonardi | 4 | 1830 | 146.87 |