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Medusa: A Novel Stream-Scheduling Scheme for Parallel Video Servers

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Author(s): Jin Hai | Deng Dafu | Pang Liping

Journal: EURASIP Journal on Advances in Signal Processing
ISSN 1687-6172

Volume: 2004;
Issue: 2;
Start page: 967232;
Date: 2004;
Original page

Keywords: video-on-demand (VOD) | stream batching | stream merging | multicast | unicast

ABSTRACT
Parallel video servers provide highly scalable video-on-demand service for a huge number of clients. The conventional stream-scheduling scheme does not use I/O and network bandwidth efficiently. Some other schemes, such as batching and stream merging, can effectively improve server I/O and network bandwidth efficiency. However, the batching scheme results in long start-up latency and high reneging probability. The traditional stream-merging scheme does not work well at high client-request rates due to mass retransmission of the same video data. In this paper, a novel stream-scheduling scheme, called Medusa, is developed for minimizing server bandwidth requirements over a wide range of client-request rates. Furthermore, the start-up latency raised by Medusa scheme is far less than that of the batching scheme.
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