@article{ajams2015322,
author={{Keaogile, Thaga and Adewole, Adebayo Fatai and Ramasamy, Sivasamy},
title={Geo (λ)/ Geo (μ) +G/2 Queues with Heterogeneous Servers Operating under FCFS Queue Discipline},
journal={American Journal of Applied Mathematics and Statistics},
volume={3},
number={2},
pages={54--58},
year={2015},
url={http://pubs.sciepub.com/ajams/3/2/2},
issn={2328-7292},
abstract={This article discusses the steady analysis of a discrete time queue of Geo/Geo+G/2 type. All arriving customers are served either by server-1 according to a geometrically distributed service time S<SUB>1</SUB>=k slots for k=1,2, ¡­&#8734;, with mass function f<SUB>1</SUB>(k)==Pr(S<SUB>1</SUB>=k) = ¦̀(1- ¦̀) k-1 with mean rate 0&lt;¦̀&lt;1 or by server-2 with a general service time S<SUB>2</SUB>= k for k=1,2, ¡­, with mass function f<SUB>2</SUB>(k)==Pr(S<SUB>2</SUB>=k) with mean service time is <img src=image/abs1.png></img> or mean service rate ¦̀<SUB>2</SUB>=1/¦Â. Sequel to some objections raised on the use of the classical 'First Come First Served (FCFS)' queue discipline when the two heterogeneous servers operate as parallel service providers, an alternative queue discipline in a serial configuration of servers are considered in this work; the objective is that if, in a single-channel queue in equilibrium, the service rate suddenly increases and exceeds the present service capacity, install a new channel to work serially with the first channel as suggested by Krishnamoorthy (1968). Using the embedded method subject to different service time distributions we present an exact analysis for finding the ¡®Probability generating Function (PGF)¡¯ of steady state number of customers in the system and most importantly, the actual waiting time expectation of customers in the system. This work shows that one can obtain all stationery probabilities and other vital measures for this queue under certain additional and simple but realistic assumptions.},
doi={10.12691/ajams-3-2-2}
publisher={Science and Education Publishing}
}