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Estimation of the probability of congestion using Monte Carlo method in OPS networks

In networks with small buffers, such as optical packet switching based networks, the convolution approach is presented as one of the most accurate method used for the connection admission control. Admission control and resource management have been addressed in other works oriented to bursty traffic and ATM. This paper focuses on heterogeneous traffic in OPS based networks. Using heterogeneous traffic and bufferless networks the enhanced convolution approach is a good solution. However, both methods (CA and ECA) present a high computational cost for high number of connections. Two new mechanisms (UMCA and ISCA) based on Monte Carlo method are proposed to overcome this drawback. Simulation results show that our proposals achieve lower computational cost compared to enhanced convolution approach with an small stochastic error in the probability estimation

© 10th IEEE Symposium on Computers and Communications : 2005 : ISCC 2005 : Proceedings, 2005, p. 561-566

IEEE

Author: Urra i Fàbregas, Anna
Marzo i Lázaro, Josep Lluís
Sbert, Mateu
Calle Ortega, Eusebi
Date: 2005
Abstract: In networks with small buffers, such as optical packet switching based networks, the convolution approach is presented as one of the most accurate method used for the connection admission control. Admission control and resource management have been addressed in other works oriented to bursty traffic and ATM. This paper focuses on heterogeneous traffic in OPS based networks. Using heterogeneous traffic and bufferless networks the enhanced convolution approach is a good solution. However, both methods (CA and ECA) present a high computational cost for high number of connections. Two new mechanisms (UMCA and ISCA) based on Monte Carlo method are proposed to overcome this drawback. Simulation results show that our proposals achieve lower computational cost compared to enhanced convolution approach with an small stochastic error in the probability estimation
Format: application/pdf
Citation: Urra, A., Marzo, J.L., Sbert, M., i Calle, E. (2005). Estimation of the probability of congestion using Monte Carlo method in OPS networks. 10th IEEE Symposium on Computers and Communications : 2005 : ISCC 2005 : Proceedings, 561-566. Recuperat 10 maig 2010, a http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1493781
ISBN: 0-7695-2373-0
ISSN: 1530-1346
Document access: http://hdl.handle.net/10256/2236
Language: eng
Publisher: IEEE
Collection: Reproducció digital del document publicat a: http://dx.doi.org/10.1109/ISCC.2005.67
Articles publicats (D-ATC)
Is part of: © 10th IEEE Symposium on Computers and Communications : 2005 : ISCC 2005 : Proceedings, 2005, p. 561-566
Rights: Tots els drets reservats
Subject: Commutació de paquets (Transmissió de dades)
Comunicacions òptiques
Montecarlo, Mètode de
Monte Carlo method
Optical communications
Packet switching (Data transmission)
Title: Estimation of the probability of congestion using Monte Carlo method in OPS networks
Type: info:eu-repo/semantics/article
Repository: DUGiDocs

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