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pro vyhledávání: '"Mohan Chaudhry"'
Autor:
Jing Gai, Mohan Chaudhry
Publikováno v:
Mathematics, Vol 12, Iss 17, p 2609 (2024)
In this paper, we present research results that extend and supplement our article recently published by MDPI. We derive the closed-form relations among the queue-length probabilities observed in the pre-arrival, random, and post-departure epochs for
Externí odkaz:
https://doaj.org/article/a2eaa67e5c6b4c218815788cf7df199e
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1142 (2023)
In this paper, we discuss the waiting-time distribution for a finite-space, single-server queueing system, in which customers arrive singly following a Poisson process and the server operates under (a,b)-bulk service rule. The queueing system has a f
Externí odkaz:
https://doaj.org/article/bcfc7b2764de4a38b63f28e2fefd1b2f
Autor:
Mohan Chaudhry, Jing Gai
Publikováno v:
Mathematics, Vol 10, Iss 19, p 3445 (2022)
Bulk-service queueing systems have been widely applied in many areas in real life. While single-server queueing systems work in some cases, multi-servers can efficiently handle most complex applications. Bulk-service, multi-server queueing systems (c
Externí odkaz:
https://doaj.org/article/5953526a45e741c3bac6d4e02a9de9dc
Autor:
Mohan Chaudhry, Veena Goswami
Publikováno v:
Mathematics, Vol 10, Iss 17, p 3142 (2022)
We not only present an alternative and simpler approach to find steady-state distributions of the number of jobs for the finite-space queueing model Geo/Ga,Y/1/N using roots of the inherent characteristic equation, but also correct errors in some pub
Externí odkaz:
https://doaj.org/article/4d9e7001d18149b4ba2ac51392423b5f
Publikováno v:
Methodology and Computing in Applied Probability. 24:2897-2912
Publikováno v:
Yugoslav Journal of Operations Research, Vol 29, Iss 1, Pp 135-144 (2019)
A simple and elegant solution to determine the asymptotic results for the renewal density as well as for the first and second moments of the number of renewals for the discrete-time bulk-renewal process is presented. The method of generating function