ANALYTICALLY EXPLICIT RESULTS FOR THE GI/C-MSP/1/∞ QUEUEING SYSTEM USING ROOTS

Author:

Chaudhry M. L.,Samanta S. K.,Pacheco A.

Abstract

In this paper, we present (in terms of roots) a simple closed-form analysis for evaluating system-length distribution at prearrival epochs of the GI/C-MSP/1 queue. The proposed analysis is based on roots of the associated characteristic equation of the vector-generating function of system-length distribution. We also provide the steady-state system-length distribution at an arbitrary epoch by using the classical argument based on Markov renewal theory. The sojourn-time distribution has also been investigated. The prearrival epoch probabilities have been obtained using the method of roots which is an alternative approach to the matrix-geometric method and the spectral method. Numerical aspects have been tested for a variety of arrival- and service-time distributions and a sample of numerical outputs is presented. The proposed method not only gives an alternative solution to the existing methods, but it is also analytically simple, easy to implement, and computationally efficient. It is hoped that the results obtained will prove beneficial to both theoreticians and practitioners.

Publisher

Cambridge University Press (CUP)

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Statistics, Probability and Uncertainty,Statistics and Probability

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modelling and Analysis of GI/BMSP/1 Queueing System;Bulletin of the Malaysian Mathematical Sciences Society;2021-05-31

2. Analysis of $GI^{[X]}/D$-$MSP/1/\infty$ queue using $RG$-factorization;Journal of Industrial & Management Optimization;2021

3. Roots, Symmetry, and Contour Integrals in Queuing-Type Systems;SIAM Journal on Applied Mathematics;2021-01

4. On the optimal control of loss probability and profit in a GI/C-BMSP/1/N queueing system;OPSEARCH;2019-09-20

5. A Discrete-Time GIX/Geo/1 Queue with Multiple Working Vacations Under Late and Early Arrival System;Methodology and Computing in Applied Probability;2019-05-28

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