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Proceedings Paper

Real-time scheduling and online resource allocation on scalable streaming media server
Author(s): Kui Gao; Wen Gao; Simin He; Yuan Zhang
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Paper Abstract

In this paper, we propose a layer-based integrated real-time scheduling algorithm in a single scalable stream and an online dynamic resource allocation algorithm among multiple concurrent users for scalable streaming media server over a network with packet loss and variable delay. The layer-based real-time scheduling algorithm efficiently schedules the packets in the buffer of the scalable streaming media server for transmission. The on-line resource allocation algorithm can allocate the server’s resource among all the concurrent streams fairly and improve the playback quality in client. Simulation results show that our proposed algorithms outperform the frame-based scheduling algorithm and the off-line resource allocation algorithm in various situations with different round-trip times, channel errors, etc. The low complexity of the proposed algorithms also enables them to be applied in real-time applications.

Paper Details

Date Published: 23 June 2003
PDF: 8 pages
Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); doi: 10.1117/12.502962
Show Author Affiliations
Kui Gao, Institute of Computing Technology (China)
Graduate School/Chinese Academy of Sciences (China)
Wen Gao, Institute of Computing Technology (China)
Graduate School/Chinese Academy of Sciences (China)
Simin He, Institute of Computing Technology (China)
Yuan Zhang, Graduate School/Chinese Academy of Sciences (China)
Beijing Broadcasting Institute (China)


Published in SPIE Proceedings Vol. 5150:
Visual Communications and Image Processing 2003
Touradj Ebrahimi; Thomas Sikora, Editor(s)

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