Adaptive Piggybacking Schemes for Video-On-Demand Systems

Authors:
Charu C. Aggarwal;Joel L. Wolf;Philip S. Yu
Affiliations:
T. J. Watson Research Center, Yorktown Heights, NY, USA;T. J. Watson Research Center, Yorktown Heights, NY, USA. jlwolf@us.ibm.com;T. J. Watson Research Center, Yorktown Heights, NY, USA
Venue:
Multimedia Tools and Applications
Year:
2002

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Abstract

A critical issue in the performance of a video-on-demand system is the I/O bandwidth required in order to satisfy client requests. A number of techniques have been proposed in order to reduce these bandwidth requirements. In this paper we concentrate on one such technique, known as adaptive piggybacking. We develop and analyze piggyback merging policies which are optimal over large classes of reasonable methods.