An optimal bandwidth allocation strategy for the delivery of compressed prerecorded video |
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Authors: | Wu-chi Feng Farnam Jahanian Stuart Sechrest |
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Affiliation: | (1) Software Systems Research Lab, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, Michigan, USA e-mail: {wuchi,farnam,sechrest}@eecs.umich.edu. , US |
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Abstract: | The transportation of prerecorded, compressed video data without loss of picture quality requires the network and video servers to support large fluctuations in bandwidth requirements. Fully utilizing a client-side buffer for smoothing bandwidth requirements can limit the fluctuations in bandwidth required from the underlying network and the video-on-demand servers. This paper shows that, for a fixed-size buffer constraint, the critical bandwidth allocation technique results in plans for continuous playback of stored video that have (1) the minimum number of bandwidth increases, (2) the smallest peak bandwidth requirements, and (3) the largest minimum bandwidth requirements. In addition, this paper introduces an optimal bandwidth allocation algorithm which, in addition to the three critical bandwidth allocation properties, minimizes the total number of bandwidth changes necessary for continuous playback. A comparison between the optimal bandwidth allocation algorithm and other critical bandwidth-based algorithms using 17 full-length movie videos and 3 seminar videos is also presented. |
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Keywords: | : Video-on-demand – Bandwidth allocation – MPEG – Video compression – Smoothing |
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