StatStream: providing statistical reliability guarantees in peer-to-peer live video streaming
by Aravindan Raghuveer, Yingfei Dong, David H-C. Du
International Journal of Advanced Media and Communication (IJAMC), Vol. 4, No. 1, 2010

Abstract: Although many large-scale P2P streaming techniques have been proposed, ensuring video reliability remains a challenging issue. We present a P2P streaming framework called StatStream that provides statistical guarantees on video quality and stability. We first propose a model to quantify video quality and stability. We then develop graph construction algorithms that ensure statistical guarantee on video quality at every peer. A key advantage of the proposed approach is that video quality and stability can be explicitly controlled. Simulations show that the proposed algorithms use the server resources efficiently while significantly improving the video stability at peers.

Online publication date: Thu, 03-Dec-2009

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Advanced Media and Communication (IJAMC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email