Journal of Intelligent Management
JIM
Journal of Intelligent Management
Edited By: Editorial Office | Online ISSN: 3080-2350 | Print ISSN: 3008-1742
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Latest IssueVolume 2, Issue 1June 2026
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Abstract

This paper considers a discrete-time Geo^X/G/1 repairable queue with server’s multiple vacations, customer feedback and p-entering discipline. The arriving batch enters the system with probability p or is lost with probability 1-p during server vacations. The customer who has just been served returns to the queue with probability 1-q for another service or leaves permanently with probability q. The server may break down during service and does not continue to work until it is repaired. Using the z-transform and renewal process theory, the reliability indices of the transient and steady-state unavailability, the expected failure number during (0^+,n^+] and the steady-state failure frequency of server are studied. The transient structure of the server reliability indices is characterized. As a real-world application the reliability indices of the proxy server in a network access proxy system are analyzed numerically.

Keywords

repairable queue; batch arrival; multiple vacations; customer feedback; proxy server

Authors & Affiliations

Citation

Liu, R., He, Y., Wu, W., & Zhang, H. (2026). Analysis of a discrete-time Geo^X/G/1 repairable queue with multiple vacations, feedback and p-entering discipline. Journal of Intelligent Management, 2(1), 32-46. https://doi.org/10.64025/j.lmjim.26.132046

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1. Introduction

Discrete-time vacation queues have been widely studied over the past decades due to their wide applications in broadband integrated service digital networks (BISDN), asynchronous transfer mode (ATM) and computer telecommunication systems. For a comprehensive review of the main results, methods and applications, readers may refer to the papers [1-7], the books [8-9] and their references. Based on the fact that the sever of a queueing system is subject to unpredictable breakdowns and repairs when serving a customer, some researchers, such as Tang et al.[10], Liu and Gao[11], Lan and Tang[12,13], Kulshrestha et al.[14] and so on, analyzed the reliability of the server in some discrete-time repairable queueing systems. However, existing studies have mainly focused on the discrete-time repairable queues with a constant arrival rate. In fact, the customer arrival rate may have something to do with server states. For example, in a telecommunication network the arrival rate of a message may vary when the server is under a maintenance activity (e.g. virus scan). On the other hand, the feedback is a common phenomenon in real world, e.g., in telecommunication systems the messages that produce errors at the destination need to be sent again. In a call center a user may call again when their problem is not completely solved. Thus the reliability study of discrete-time repairable queues with vacations, feedback and variable arrival rate is not only significant for theoretical investigations but also valuable for practical applications. In this paper, we consider the reliability of the server for a discrete-time Geo^X/G/1 queue with vacations, feedback and p-entering discipline. The arriving batch enters the system with probability p or is lost with probability 1-p during server vacations. The customer who has just been served returns to the queue with probability 1-q for another service or leaves permanently with probability q. The server may break down during service and does not continue to work until it is repaired. Using the z-transform and renewal process theory, the server reliability indices, such as the transient and steady-state unavailability, the expected failure number during (0^+,n^+] and the steady-state failure frequency, are studied. The transient structure of the server reliability indices in this type of repairable queue is characterized. The proposed queueing system can be used to model a network access proxy system (NAPS). In such a system, maintenance activities (vacations), such as virus scanning, are required to keep the proxy server operating properly. After completing one maintenance activity, the proxy server either performs another maintenance activity or begins serving waiting requests. A service request received with errors at the destination may be retransmitted (feedback). In addition, a busy server may stop working when unpredictable events occur, such as network congestion. The service interruption is repaired immediately, and once the interruption is recovered, the server resumes service. Because channel requests, grants, data transmissions, and receptions all occur in fixed time intervals, and because the batch-request arrival rate differs between the server maintenance period and the busy period, this system can be modeled as a discrete-time repairable queue with vacations, feedback, and a variable arrival rate. Moreover, for the NAPS described above, the server reliability indices obtained in Section 3 are useful for analyzing the effects of system parameters on proxy-server performance (see Section 4). The remainder of this paper is organized as follows. Section 2 presents the queueing assumptions and several preliminaries. Section 3 derives the server reliability indices using the z-transform and renewal-point techniques and discusses several special cases. Section 4 provides numerical examples to validate the theoretical results for a network access proxy system. Section 5 concludes the paper.

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Acknowledgment

The present research is supported by General Program of Chongqing Natural Science Foundation of China (CSTB2022NSCQ-MSX1160).

Conflict of Interest

For the publication of this paper, the authors declare that there is no conflict of interest.

References

Tian NS, Zhang ZG, The discrete time GI/Geo/1 queue with multiple vacations, Queueing Systems, 2002, 40(3): 283-294.

Tang YH, Yun X, Huang SJ, Discrete-time Geo^X/G/1 queue with unreliable server and multiple adaptive delayed vacations, Journal of Computational and Applied Mathematics, 2008, 220(1-2): 439-455.

Wang TY, Ke JC, Chang FM, On the discrete-time Geo/G/1 queue with randomized vacations and at most J vacations, Applied Mathematical Modelling, 2011, 35(5): 2297-2308.

Hassin R, Meilijson I, Perlman Y, Queueing with negative network effects, Manufacturing & Service Operations Management, 2023, 25(5): 1984-1998.

Shen Y, Ma ZY, Analysis of P2P networks with malicious peers and repairable breakdown based on Geo/Geo/1+1 queue, Journal of Parallel and Distributed Computing, 2025, 195: 104979.

Atencia I, Galán-García JL, Padilla-Domínguez Y, A discrete-time queue with service time adjustments and general retrial times, Journal of Computational and Applied Mathematics, 2025, 467(15): 116605.

Parveen A, Samanta SK, Study of an early arrival system on 〖Geo〗^X/G/1 queue with single vacation, Queueing Models and Service Management, 2025, 8(3): 33-57.

Tian NS, Zhang ZG, Vacation Queueing Models-Theory and Applications, Springer, New York, 2006.

Alfa AS, Applied Discrete-time Queues, Springer, New York, 2016.

Tang YH, Yu MM, Li CL, Geom/G1,G2/1/1 repairable Erlang loss system with catastrophe and second optional service, Journal of System Science and Complexity, 2011, 24(6): 554-564.

Liu ZM, Gao S, Reliability indices of a Geo/G/1/1 Erlang loss system with active breakdowns under Bernoulli schedule, International Journal of Management Science and Engineering Management, 2010, 5(6): 433-438.

Lan SJ, Tang YH, Performance and reliability analysis of a repairable discrete-time Geo/G/1 queue with Bernoulli feedback and randomized policy, Applied Stochastic Models in Business and Industry, 2017, 33(5): 522-543.

Lan SJ, Tang YH, An unreliable discrete-time retrial queue with probabilistic preemptive priority, balking customers and replacements of repair times, AIMS Mathematics, 2020, 5(5): 4322-4344.

Kulshrestha R, Singh A, Yadav P, Reliability and transient analysis of discrete-time multi-class priority queue with energy saving vacation policy, RAIRO Operations Research, 2025, 59(3): 1645-1664.

Fuhrmann SW, Copper RB, Stochastic decompositions in the queue M/G/1 with generalized vacations, Operations Research, 1985, 33(5): 1117-1129.

Cao JH, Cheng K, Introduction to Reliability Mathematics, Higher Education Press, Beijing, 1986.

Tang YH, Tang XW, Queueing Theory — Foundations and Analysis Techniques, Science Press, Beijing, 2006.