Analysis of intensity for a queueing system: bootstrapping computation

Analysis of intensity for a queueing system: bootstrapping computation

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Article ID: iaor200969148
Country: United Kingdom
Volume: 4
Issue: 3
Start Page Number: 195
End Page Number: 211
Publication Date: Jul 2009
Journal: International Journal of Services Operations and Informatics
Authors: ,
Abstract:

Traffic intensity plays an important role of system performance measures in queueing model. In this paper, we construct new confidence intervals of intensity for a queueing system, which are based on four bootstrap methods; standard bootstrap confidence interval, percentile bootstrap confidence interval, bootstrap-t confidence interval and bias-corrected and accelerated confidence interval. We also perform the accuracy of these bootstrap confidence intervals through calculating the coverage probability and the expected length of confidence intervals. Detailed discussions of the simulation results for four various types of queueing system are presented and some conclusions are provided. In addition, we demonstrate the four bootstrap confidence intervals with a real-life example.

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