Congestion control in DQDB/ATM interworking using PWM

Silva, R.G. de; Dewar, William J.

doi:10.1109/glocom.1998.776648

Cited by 1 publication

(1 citation statement)

References 4 publications

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“…To make an exact analysis on the performance of the network is almost impossible [5]. Most papers estimate the performance of the network by simulations [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. Thus, it only depends on the precision of simulations to exactly comprehend the behavior of the complex system.…”

Section: Intoductionmentioning

confidence: 99%

Adaptive Maximums of Random Variables for Network Simulations

Chiou

Shyi

2009

Journal of Computer Networks and Communications

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In order to enhance the precision of network simulations, the paper proposes an approach to adaptively decide the maximum of random variables that create the discrete probabilities to generate nodal traffic on simulated networks. In this paper, a statistical model is first suggested to manifest the bound of statistical errors. Then, according to the minimum probability that generates nodal traffic, a formula is proposed to decide the maximum. In the formula, a precision parameter is used to present the degree of simulative accuracy. Meanwhile, the maximum adaptively varies with the traffic distribution among nodes because the decision depends on the minimum probability generating nodal traffic. In order to verify the effect of the adaptive maximum on simulative precision, an optical network is introduced. After simulating the optical network, the theoretic average waiting time of nodes on the optical network is exploited to validate the exactness of the simulation. The proposed formula deciding the adaptive maximum can be generally exploited in the simulations of various networks. Based on the precision parameterK, a recursive procedure will be developed to automatically produce the adaptive maximum for network simulations in the future.

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