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Seventh International Conference on Computer Communications and Networks (ICCCN '98)
New Statistical Model for VBR Video Traffic in ATM Networks
Lafayette, Lousiana
October 12-October 15
ISBN: 0-8186-9014-3
ASCII Text
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Gajendra S. Sisodia, Dr. Mark Hedley, Dr. Ling Guan, Subrata De, "New Statistical Model for VBR Video Traffic in ATM Networks," Computer Communications and Networks, International Conference on, pp. 448, Seventh International Conference on Computer Communications and Networks (ICCCN '98), 1998.
 
 
BibTex
x
 
@article{ 10.1109/ICCCN.1998.739948,
author = {Gajendra S. Sisodia and Dr. Mark Hedley and Dr. Ling Guan and Subrata De},
title = {New Statistical Model for VBR Video Traffic in ATM Networks},
journal ={Computer Communications and Networks, International Conference on},
volume = {0},
year = {1998},
issn = {1095-2055},
pages = {448},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICCCN.1998.739948},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer Communications and Networks, International Conference on
TI - New Statistical Model for VBR Video Traffic in ATM Networks
SN - 1095-2055
SP
EP
A1 - Gajendra S. Sisodia,
A1 - Dr. Mark Hedley,
A1 - Dr. Ling Guan,
A1 - Subrata De,
PY - 1998
KW - ATM
KW - packet video
KW - macroblocks
KW - broadband traffic.
VL - 0
JA - Computer Communications and Networks, International Conference on
ER -
 
Gajendra S. Sisodia, University of Sydney
Dr. Mark Hedley, University of Sydney
Dr. Ling Guan, University of Sydney
Subrata De, Vodafone Pty Limited
In this paper, we present a new approach to modelling variable bit rate (VBR) coded video sources in asynchronous transfer mode (ATM) networks. Unlike the existing methods which model the number of cells generated by the coder for a sequence of video frames, the new approach improves modelling accuracy by considering the characteristics of different cells generated by the coder, and modelling the number of cells in each type of macroblocks of a frame separately. The model is tested by comparing the cell loss rate in simulation of an ATM switch to cell loss rate produced when traces generated by the model are used as the source. Comparison with the existing models are performed in the area of measuring the quality of their predictions for network performance and the grade of service experienced by a user.
Index Terms:
ATM, packet video, macroblocks, broadband traffic.
Citation:
Gajendra S. Sisodia, Dr. Mark Hedley, Dr. Ling Guan, Subrata De, "New Statistical Model for VBR Video Traffic in ATM Networks," icccn, pp.448, Seventh International Conference on Computer Communications and Networks (ICCCN '98), 1998
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