By Topic

Continuous Scheduling for Data-Driven Peer-to-Peer Streaming

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Akkanen, J. ; Nokia Res. Center, Helsinki, Finland

The paper introduces a new approach to data-driven peer-to-peer media streaming. While classical algorithms send buffer maps and run scheduling periodically, we experiment by continuously sending incremental notifications of buffer contents and by running a continuous scheduling process. The approach has been tested both in a network simulator and in a small network of smart phones with live video content. The protocol seems to adapt quickly to changing data rate or churn without producing intolerable overhead. The approach leads to small latency and strong peer equality and may thus ease neighbor management. The end-to-end delay is small and one may alleviate a need for large buffers.

Published in:

Next Generation Mobile Applications, Services and Technologies, 2008. NGMAST '08. The Second International Conference on

Date of Conference:

16-19 Sept. 2008