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Estimation of the probability of congestion using Monte Carlo method in OPS networks
Urra i Fàbregas, Anna; Marzo i Lázaro, Josep Lluís; Sbert, Mateu; Calle Ortega, Eusebi
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
17-05-2010
Commutació de paquets (Transmissió de dades)
Comunicacions òptiques
Montecarlo, Mètode de
Monte Carlo method
Optical communications
Packet switching (Data transmission)
Tots els drets reservats
Artículo
IEEE
         

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