Strong approximation method and the (functional) law of iterated logarithm for GI/G/1 queue

Abstract

In this paper, a unified method based on the strong approximation (SA) of renewal process (RP) is developed for the law of the iterated logarithm (LIL) and the functional LIL (FLIL), which quantify the magnitude of the asymptotic rate of the increasing variability around the mean value of the RP in numerical and functional forms respectively. For the GI/G/1 queue, the method provides a complete analysis for both the LIL and the FLIL limits for four performance functions: The queue length, workload, busy time and idle time processes, covering three regimes divided by the traffic

DOI: 10.1007/s11424-017-5226-5

Cite this paper

@article{Guo2017StrongAM, title={Strong approximation method and the (functional) law of iterated logarithm for GI/G/1 queue}, author={Yongjiang Guo and Xiyang Hou}, journal={J. Systems Science & Complexity}, year={2017}, volume={30}, pages={1097-1106} }