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Proceedings Paper

Efficient delivery techniques for variable-bit-rate multimedia
Author(s): Yanping Zhao; Derek L. Eager; Mary K. Vernon
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Paper Abstract

Two key technologies enabling scalable on-demand delivery of stored multimedia content are work-ahead smoothing and multicast delivery. Work-ahead smoothing reduces the burstiness of variable bit rate streams, simplifying server and network resource allocation. Recent multicast delivery techniques such as patching or bandwidth skimming serve clients that request the same content close together in time with (partially) shared multicasts, greatly reducing required server bandwidth. Although previous studies of work-ahead smoothing have generally assumed very limited client buffer space, in a number of contexts of current interest (such as systems that have significant settop storage), it becomes feasible to fully smooth variable bit rate content. We quantify the start-up delay and settop storage requirements of full smoothing for a number of sample variable bit rate objects. We then evaluate a fundamental conflict between aggressive smoothing and the new multicast delivery techniques. Work-ahead smoothing requires sending data for high rate portions of an object earlier than it is needed for playback, while multicast techniques yield their greatest benefit when data is delivered within each stream as late as possible so that more clients can share reception of that data. A new multicast delivery technique is proposed that can accommodate aggressive smoothing with increased efficiency in comparison to previous techniques, particularly for high request rates.

Paper Details

Date Published: 10 December 2001
PDF: 14 pages
Proc. SPIE 4673, Multimedia Computing and Networking 2002, (10 December 2001); doi: 10.1117/12.449976
Show Author Affiliations
Yanping Zhao, Univ. of Saskatchewan (Canada)
Derek L. Eager, Univ. of Saskatchewan (Canada)
Mary K. Vernon, Univ. of Wisconsin/Madison (United States)

Published in SPIE Proceedings Vol. 4673:
Multimedia Computing and Networking 2002
Martin G. Kienzle; Prashant J. Shenoy, Editor(s)

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