DocumentCode :
2774046
Title :
A Resource Management Framework Based on the Many Sources Asymptotic for Video-on-Demand Servers
Author :
Stahlschmidt, Thiago ; Godoy, Walter ; Foronda, Augusto
Author_Institution :
CPGEI, Fed. Univ. of Technol. Parana, Curitiba, Brazil
fYear :
2010
fDate :
20-25 Sept. 2010
Firstpage :
86
Lastpage :
91
Abstract :
This paper proposes a framework for admission control of pre-stored video streams, which provide deterministic guarantees on the maximum delay of video traffic and increase the network resource utilization. The framework take advantage of the fact that video streams can be processed off-line to calculate the space and time parameters in order to estimate its effective bandwidth under the many sources asymptotic regime. To bypass the traffic prediction problem, since the off-line estimation does not capture the exact dynamics of the video stream in the time domain, the link is divided into several virtual links, where only streams with same content are multiplexed (group multiplexing approach). The efficiency of the model is analyzed and compared with the deterministic approach. It achieves accuracy and high channel utilization.
Keywords :
channel allocation; multiplexing; telecommunication congestion control; telecommunication traffic; video on demand; video streaming; admission control; channel utilization; group multiplexing; network resource utilization; resource management; video streams; video traffic; video-on-demand servers; virtual links; CAC; Effective Bandwidth; QoS; The Many Sources Asymptotic; Video-on-Demand;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Evolving Internet (INTERNET), 2010 Second International Conference on
Conference_Location :
Valcencia
ISSN :
2156-7190
Print_ISBN :
978-1-4244-8150-7
Electronic_ISBN :
2156-7190
Type :
conf
DOI :
10.1109/INTERNET.2010.24
Filename :
5616512
Link To Document :
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