Skip to Main content Skip to Navigation
Reports

Asymptotic properties of sequential streaming leveraging users' cooperation

Abstract : We consider a communication system in which a given digital content has to be delivered sequentially at constant rate to a set of users who asynchronously request it according to a Poisson process. Users can retrieve data: i) from one or more sources that statically store the entire content; ii) from users who have previously requested the content, and contribute (for limited time) a random amount of upload bandwidth to the system. We propose a stochastic fluid framework that allows characterizing the aggregate streaming rate necessary at the sources to satisfy all active requests. In particular, we establish the conditions under which the system becomes asymptotically scalable as the number of users grows. Our theoretical results apply to increasingly popular Video-on-Demand systems exploiting users' cooperation.
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download

https://hal.inria.fr/hal-00759012
Contributor : Delia Ciullo <>
Submitted on : Monday, December 17, 2012 - 3:00:13 PM
Last modification on : Saturday, January 27, 2018 - 1:31:44 AM
Long-term archiving on: : Monday, March 18, 2013 - 2:45:09 AM

File

RR-8183.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-00759012, version 1

Collections

Citation

Delia Ciullo, Valentina Martina, Michele Garetto, Emilio Leonardi, Giovanni Luca Torrisi. Asymptotic properties of sequential streaming leveraging users' cooperation. [Research Report] RR-8183, INRIA. 2012. ⟨hal-00759012⟩

Share

Metrics

Record views

321

Files downloads

459