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Stochastic Modeling and Analysis of GRED-I Congestion Control for Differentiated Bursty Traffic
Niagara Falls, Ontario, Canada May 21-May 23
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AINA.2007.13221st International Conference on Adva ...
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Lan Wang, Geyong Min, Irfan Awan, "Stochastic Modeling and Analysis of GRED-I Congestion Control for Differentiated Bursty Traffic," Advanced Information Networking and Applications, International Conference on, pp. 1022-1030, 21st International Conference on Advanced Networking and Applications (AINA '07), 2007.
 
 
BibTex
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@article{ 10.1109/AINA.2007.132,
author = {Lan Wang and Geyong Min and Irfan Awan},
title = {Stochastic Modeling and Analysis of GRED-I Congestion Control for Differentiated Bursty Traffic},
journal ={Advanced Information Networking and Applications, International Conference on},
volume = {0},
year = {2007},
issn = {1550-445X},
pages = {1022-1030},
doi = {http://doi.ieeecomputersociety.org/10.1109/AINA.2007.132},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Advanced Information Networking and Applications, International Conference on
TI - Stochastic Modeling and Analysis of GRED-I Congestion Control for Differentiated Bursty Traffic
SN - 1550-445X
SP1022
EP1030
A1 - Lan Wang,
A1 - Geyong Min,
A1 - Irfan Awan,
PY - 2007
KW - null
VL - 0
JA - Advanced Information Networking and Applications, International Conference on
ER -
 
Lan Wang, University of Bradford, Bradford, BD7 1DP, UK
Geyong Min, University of Bradford, Bradford, BD7 1DP, UK
Irfan Awan, University of Bradford, Bradford, BD7 1DP, UK
This paper develops an analytical performance model for a finite capacity queueing system with an enhanced Random Early Detection (RED) congestion control scheme in the presence of differentiated classes of bursty traffic. The aggregate traffic is captured by the superposition of 2-state Markov Modulated Poisson Processes (MMPP). Two individual thresholds are assigned to each traffic class in order to differentially control traffic injection rate. The accuracy of this model is verified by comparing the analytical results against those obtained from simulation. The model is adopted to investigate the effects of traffic burstiness and system capacity on the performance of the congestion control scheme.
Citation:
Lan Wang, Geyong Min, Irfan Awan, "Stochastic Modeling and Analysis of GRED-I Congestion Control for Differentiated Bursty Traffic," aina, pp.1022-1030, 21st International Conference on Advanced Networking and Applications (AINA '07), 2007
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