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Presentation Planning for Distributed VoD Systems
September/October 2002 (vol. 14 no. 5)
pp. 1059-1077

Abstract—A distributed video-on-demand (VoD) system is one where a collection of video data is located at dispersed sites across a computer network. In a single site environment, a local video server retrieves video data from its local storage device. However, in distributed VoD systems, when a customer requests a movie from the local server, the server may need to interact with other servers located across the network. In this paper, we present different types of presentation plans that a local server can construct in order to satisfy a customer request. Informally speaking, a presentation plan is a temporally synchronized sequence of steps that the local server must perform in order to present the requested movie to the customer. This involves obtaining commitments from other video servers, obtaining commitments from the network service provider, as well as making commitments of local resources, while keeping within the limitations of available bandwidth, available buffer, and customer data consumption rates. Furthermore, in order to evaluate the quality of a presentation plan, we introduce two measures of optimality for presentation plans: minimizing wait time for a customer and minimizing access bandwidth which, informally speaking, specifies how much network/disk bandwidth is used. We develop algorithms to compute three different optimal presentation plans that work at a block level, or at a segment level, or with a hybrid mix of the two, and compare their performance through simulation experiments. We have also mathematically proven effects of increased buffer or bandwidth and data replications for presentation plans which had previously been verified experimentally in the literature.

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Index Terms:
Distributed VoD, video server, presentation plan, optimal presentation.
Citation:
Eenjun Hwang, B. Prabhakaran, V.S. Subrahmanian, "Presentation Planning for Distributed VoD Systems," IEEE Transactions on Knowledge and Data Engineering, vol. 14, no. 5, pp. 1059-1077, Sept.-Oct. 2002, doi:10.1109/TKDE.2002.1033774
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