Abstract

Purpose: We consider a discrete-time Geo/G/1 retrial queue where the retrial time follows a general distribution, the server subject to Bernoulli vacation policy and the customer has preemptive resume priority, Bernoulli feedback strategy. The main purpose of this paper is to derive the generating functions of the stationary distribution of the system state, the orbit size and some important performance measures. Design/methodology: Using probability generating function technique, some valuable and interesting performance measures of the system are obtained. We also investigate two stochastic decomposition laws and present some numerical results. Findings: We obtain the probability generating functions of the system state distribution as well as those of the orbit size and the system size distributions. We also obtain some analytical expressions for various performance measures such as idle and busy probabilities, mean orbit and system sizes. Originality/value: The analysis of discrete-time retrial queues with Bernoulli vacation, preemptive resume and feedback customers is interesting and to the best of our knowledge, no other scientific journal paper has dealt with this question. This fact gives the reason why efforts should be taken to plug this gap.

Highlights

  • More and more scholars are interested in analysis of discrete time queues due to their applications in communication system and other related areas (Bruneel & Kim, 1992; Takagi, 1993; Singh & Sreenivas, 2014; Wei, Qin & He, 2014)

  • The analysis of discrete-time retrial queues with Bernoulli vacation, preemptive resume and feedback customers is interesting and no work in this direction is found in the queueing literature at present

  • We take into account a discrete-time single server retrial queue where the time axis is divided into slots and the time axis is marked by 0, 1,...,m

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Summary

Introduction

More and more scholars are interested in analysis of discrete time queues due to their applications in communication system and other related areas (Bruneel & Kim, 1992; Takagi, 1993; Singh & Sreenivas, 2014; Wei, Qin & He, 2014). Queueing models with preemptive resume phenomenon are characterized by the fact that arriving customers have the right to interrupt the customers in service and begin their own service with LCFS discipline It occurs in many situations in our real life such as dealing with emergency patient in hospital and treating to transmission of information systems. The analysis of discrete-time retrial queues with Bernoulli vacation, preemptive resume and feedback customers is interesting and no work in this direction is found in the queueing literature at present. This fact gives the reason why efforts should be taken to plug this gap.

Model Description
Markov Chain
Stochastic Decomposition
Conclusions

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