Steady-state simulation of queueing processes: survey of problems and solutions
ACM Computing Surveys (CSUR)
Cycles and waiting times in symmetric exhaustive and gated multiserver multiqueue systems
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 spectral method for confidence interval generation and run length control in simulations
Communications of the ACM - Special issue on simulation modeling and statistical computing
Adaptive spectral methods for simulation output analysis
IBM Journal of Research and Development
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This paper compares methodologies proposed in the literature for the stationary analysis of simulation data, focusing on the Montecarlo simulation of telecommunication networks. We consider estimation rules for both the duration of the initial transient of the simulation experiment, when the simulation model reaches stationary, and for the accuracy, in terms of confidence level and confidence interval, of the performance figures that are usually computed as suitable averages on simulation data. These rules are compared on some simple simulation models. Two rules showing robustness against different models and different model configurations are selected.