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Proceedings Paper

Scalable multicast feedback
Author(s): Guillaume Boissiere
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Paper Abstract

Within a few years, the number of live audio and video programs available on the Internet will increase dramatically. As the INternet grows as an entertainment medium, content providers are eager to access ratings information to know better what people are interested in and be able to personalize the programs. However, whereas it is easy to know how many people have connected to a given Web site, gathering rating about what multicast viewers are watching does not scale, because there could potentially by millions of viewers connected to a multicast group. This paper presents a novel scheme at the application level to gather feedback form multicast receivers in a scalable way. Our model based on the random sampling of receivers, scale well for very large group since we only need partial feedback to estimate the ratings.

Paper Details

Date Published: 22 January 1999
PDF: 8 pages
Proc. SPIE 3528, Multimedia Systems and Applications, (22 January 1999); doi: 10.1117/12.337402
Show Author Affiliations
Guillaume Boissiere, MIT Media Lab. (United States)

Published in SPIE Proceedings Vol. 3528:
Multimedia Systems and Applications
Andrew G. Tescher; Bhaskaran Vasudev; V. Michael Bove; Barbara Derryberry, Editor(s)

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