Controlled request DQDB: achieving fairness and maximum throughput in the DQDB network
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 1)
An access protection solution for heavy load unfairness in DQDB
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 1)
Effect of bandwidth balancing mechanism on fairness and performance of DQDB MANS
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
A queueing analysis of the performance of DQDB
IEEE/ACM Transactions on Networking (TON)
Simulation and the Monte Carlo Method
Simulation and the Monte Carlo Method
Simulation of Communication Systems: Modeling, Methodology and Techniques
Simulation of Communication Systems: Modeling, Methodology and Techniques
AINA '03 Proceedings of the 17th International Conference on Advanced Information Networking and Applications
The fairness of DQDB networks with slot reuse
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 3)-Volume - Volume 3
Delay performance evaluation of high speed protocols for multimedia communications
ICCCN '95 Proceedings of the 4th International Conference on Computer Communications and Networks
The Effect of Bursty Lengths on DQDB Networks
CISIS '07 Proceedings of the First International Conference on Complex, Intelligent and Software Intensive Systems
Simulating wireless communication systems: practical models in c++
Simulating wireless communication systems: practical models in c++
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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 parameter K, a recursive procedure will be developed to automatically produce the adaptive maximum for network simulations in the future.