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Showing papers on "Retrial queue published in 1999"



Journal ArticleDOI
TL;DR: This paper carries out an extensive analysis of the queue, including a necessary and sufficient condition for the system to be stable, the steady state distribution of the server state and the orbit length, the waiting time distribution, the busy period, and other related quantities.
Abstract: Retrial queueing systems are widely used in teletraffic theory and computer and communication networks. Although there has been a rapid growth in the literature on retrial queueing systems, the research on retrial queues with nonexponential retrial times is very limited. This paper is concerned with the analytical treatment of an M/G/1 retrial queue with general retrial times. Our queueing model is different from most single server retrial queueing models in several respectives. First, customers who find the server busy are queued in the orbit in accordance with an FCFS (first-come-first-served) discipline and only the customer at the head of the queue is allowed for access to the server. Besides, a retrial time begins (if applicable) only when the server completes a service rather upon a sen ice attempt failure. We carry out an extensive analysis of the queue, including a necessary and sufficient condition for the system to be stable, the steady state distribution of the server state and the orbit length, the waiting time distribution, the busy period, and other related quantities. Finally, we study the joint distribution of the server state and the orbit length in non-stationary regime.

117 citations


Journal ArticleDOI
TL;DR: A survey of retrial queues with two types of calls and new results of several models are presented, including the M"1, M"2/G/1 retrial queue and its variations.

115 citations


Journal ArticleDOI
TL;DR: In this article, the authors considered the retrial group of finite capacity and geometric loss and derived the joint distribution of two queue lengths, the waiting time distribution and the distribution of the busy period from these results, they obtained the blocking probability, the mean waiting time, and the mean queue lengths.

52 citations


Journal ArticleDOI
TL;DR: An approximation replaces the complex non-renewal process of secondary arrivals from the orbit with a phase type renewal process which matches the first two or three interarrival time moments of an M/PH/1 retrial queue with phase type inter-retrial times.

30 citations


Journal ArticleDOI
01 Dec 1999-Top
TL;DR: This paper investigates the impact of retrial phenomenon on loss probabilities and compares loss probabilities of several channel allocation schemes giving higher priority to hand-off calls in the cellular mobile wireless network, and obtains the loss probabilities, the mean waiting time and the mean queue lengths.
Abstract: In this paper, we investigate the impact of retrial phenomenon on loss probabilities and compare loss probabilities of several channel allocation schemes giving higher priority to hand-off calls in the cellular mobile wireless network. In general, two channel allocation schemes giving higher priority to hand-off calls are known; one is the scheme with the guard channels for hand-off calls and the other is the scheme with the priority queue for hand-off calls. For mathematical unified model for both schemes, we consider theMAP 1,MAP 2 /M/c/b, ∞ retrial queue with infinite retrial group, geometric loss, guard channels and finite priority queue for hand-off class. We approximate the joint distribution of two queue lengths by Neuts' method and also obtain waiting time distribution for hand-off calls. From these results, we obtain the loss probabilities, the mean waiting time and the mean queue lengths. We give numerical examples to show the impact of the repeated attempt and to compare loss probabilities of channel allocation schemes.

29 citations


Journal ArticleDOI
TL;DR: In this paper, the authors give an algorithm of numerical calculation of the outside observer's distribution of the number of busy servers and customers in orbit, relate this distribution to the arriving customer's distribution and suggest a method of analysis of the waiting time.

28 citations


Journal ArticleDOI
01 Dec 1999-Top
TL;DR: Numerical methods for obtaining the stationary distribution of states for multi-server retrial queues with Markovian arrival process, phase type service time distribution with two states and finite buffer; and moments of the waiting time are presented.
Abstract: We present numerical methods for obtaining the stationary distribution of states for multi-server retrial queues with Markovian arrival process, phase type service time distribution with two states and finite buffer; and moments of the waiting time. The methods are direct extensions of the ones for the single server retrial queues earlier developed by the authors. The queue is modelled as a level dependent Markov process and the generator for the process is approximated with one which is spacially homogeneous above some levelN. The levelN is chosen such that the probability associated with the homogeneous part of the approximated system is bounded by a small tolerance and the generator is eventually truncated above that level. Solutions are obtained by efficient application of block Gaussian elimination.

23 citations


Journal ArticleDOI
TL;DR: It is shown that if the hazard rate function of the retrial time distribution is decreasing, then stochastically longer service time or less servers will result in more customers in the system.

12 citations


Book ChapterDOI
01 Jan 1999
TL;DR: This chapter tries to fill the gap on the control of retrial queues with results on the survey papers by Yang and Templeton, Falin, and Kulkarni and Liang.
Abstract: Dedication. One of the earliest papers in retrial queues is by Keilson, Cozzolino, and Young [6]. Retrials queues has grown into an important area of research over the last decade, as evidenced by the survey papers by Yang and Templeton [11], Falin [3], and Kulkarni and Liang [7]. However, as far as the authors are aware, there are no results on the control of retrial queues. In this chapter, we try to fill this gap.

11 citations


Journal ArticleDOI
TL;DR: In this paper, a general G/G/1 retrial queueing system with non-Markovian repeated attempts is analyzed from a statistical viewpoint, and a Gaussian consistent estimator for the unknown parameters in a parametric context is obtained.