Explicit results are obtained using simple and exact methods for the joint queue-length distribution of the M/M/c queue with an arbitrary number of non-preemptive priority levels. This work is the first to provide explicit results for the joint probability generating function and joint probability mass function for a general number of priority levels. A fixed-point iteration is developed for the stationary balance equations, which enables direct computation of the joint queue-length distribution. A multi-variate probability generating function is also derived, from which the joint probability mass function can be computed by means of a multi-dimensional fast Fourier transform method.</p
In this paper we analyze an MN/MN/1 queueing system with N customer classes and preemptive prioritie...
The paper revisits the problem of the computation of the joint stationary probability distribution p...
The paper revisits the problem of the computation of the joint stationary probability distribution p...
Explicit results are derived using simple and exact methods for the joint and marginal queue-length ...
In this paper we analyze an MN/MN/1 queueing system with N customer classes and preemptive prioritie...
In this paper we analyze an M/M/1 queueing system with an arbitrary number of customer classes, with...
In this paper we analyze an M/M/1 queueing system with an arbitrary number of customer classes, with...
In this paper we analyze an $M/M/1$ queueing system with an arbitrary number of customer classes, wi...
In this paper we analyze an $M/M/1$ queueing system with an arbitrary number of customer classes, wi...
In this paper we analyze an $M/M/1$ queueing system with an arbitrary number of customer classes, wi...
In this paper we analyze an MN/MN/1 queueing system with N customer classes and preemptive prioritie...
In this paper we analyze an M/M/1 queueing system with an arbitrary number of customer classes, with...
queue length distribution of multi-class, single-server queues with preemptive prioritie
Abstract—This paper studies the M/M/1/K queue under nonpreemptive service priority discipline. The p...
Hokstad recently published an approximate method for calculating the behaviour of an M/G/m queue. Th...
In this paper we analyze an MN/MN/1 queueing system with N customer classes and preemptive prioritie...
The paper revisits the problem of the computation of the joint stationary probability distribution p...
The paper revisits the problem of the computation of the joint stationary probability distribution p...
Explicit results are derived using simple and exact methods for the joint and marginal queue-length ...
In this paper we analyze an MN/MN/1 queueing system with N customer classes and preemptive prioritie...
In this paper we analyze an M/M/1 queueing system with an arbitrary number of customer classes, with...
In this paper we analyze an M/M/1 queueing system with an arbitrary number of customer classes, with...
In this paper we analyze an $M/M/1$ queueing system with an arbitrary number of customer classes, wi...
In this paper we analyze an $M/M/1$ queueing system with an arbitrary number of customer classes, wi...
In this paper we analyze an $M/M/1$ queueing system with an arbitrary number of customer classes, wi...
In this paper we analyze an MN/MN/1 queueing system with N customer classes and preemptive prioritie...
In this paper we analyze an M/M/1 queueing system with an arbitrary number of customer classes, with...
queue length distribution of multi-class, single-server queues with preemptive prioritie
Abstract—This paper studies the M/M/1/K queue under nonpreemptive service priority discipline. The p...
Hokstad recently published an approximate method for calculating the behaviour of an M/G/m queue. Th...
In this paper we analyze an MN/MN/1 queueing system with N customer classes and preemptive prioritie...
The paper revisits the problem of the computation of the joint stationary probability distribution p...
The paper revisits the problem of the computation of the joint stationary probability distribution p...