A parametric uncertainty analysis method for queues with vacations
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摘要
In this paper, we propose a numerical method, based on Taylor series expansion, for computing the uncertainty in performance measures of vacation queueing model due to epistemic uncertainties in its parameters. Specifically, we consider the M/G/1/N queue with vacations, where we assume that vacation parameter is derived from finite number of observations, they themselves will have epistemic uncertainty associated with them. Using this method, we compute the expected value and the variance of the stationary distribution associated with the M/G/1/N queue with vacations. In order to illustrate the applicability of the proposed method, a series of numerical examples are discussed and the obtained results are compared to the corresponding Monte Carlo simulations ones.
论文关键词:Epistemic uncertainty,Taylor series expansion,Deviation matrix,M/G/1/N queue with vacations,Non-parametric sensitivity analysis
论文评审过程:Received 30 September 2015, Revised 15 February 2016, Available online 24 February 2016, Version of Record 17 October 2016.
论文官网地址:https://doi.org/10.1016/j.cam.2016.02.031