Vita.This dissertation develops an analysis of the stochastic behavior of a GI / GI / $infty$ queue. The GI / GI / $infty$ queueing system is analyzed under the steady state and transient operating conditions. System behavior at arrival epochs is also studied. A unified analytical and computational framework to obtain various performance measures for the GI / GI / $infty$ queue is presented. The distributions for system backlog and occupancy are characterized in terms of integro-difference equations. These distributional results developed are amenable to straightforward computational procedures. Expression for moments of backlog and occupancy are also presented
We consider a GI=GI=1 queue with the shortest remaining processing time discipline (SRPT) and light-...
This paper analyzes transient characteristics of Gaussian queues. More specifically, we determine th...
This article undertake Bayesian inference and prediction for GI/M/1 queueing systems. A semiparametr...
In this paper, we first present the backward equations of Markov skeleton processes, which are then ...
A GI/M/1/N-type queueing system with independent and generally distributed interarrival times and ex...
AbstractIn this paper, we consider the discrete-time single-server finite-buffer late arrival with d...
The work presents an analysis of infinite-server queueing systems with renewal arrival process and p...
Bulk-service queueing systems have been widely applied in many areas in real life. While single-serv...
The GI/G/1 queueing model is regarded as a functional which maps the service and interarrival time d...
In this paper, we describe how to make Bayesian inference for the transient behaviour and busy perio...
In this paper, we describe how to make Bayesian inference for the transient behaviour and busy perio...
This paper deals with a batch arrival infinite-buffer single server queue. The interbatch arrival ti...
Consideration is given to the queuing system, consisting of one server and a queue of unlimited capa...
This paper presents an analytical approach to evaluate queues with time-dependent, generally distrib...
This paper proposes a new approach for the time-dependent analysis of stochastic and non-stationary ...
We consider a GI=GI=1 queue with the shortest remaining processing time discipline (SRPT) and light-...
This paper analyzes transient characteristics of Gaussian queues. More specifically, we determine th...
This article undertake Bayesian inference and prediction for GI/M/1 queueing systems. A semiparametr...
In this paper, we first present the backward equations of Markov skeleton processes, which are then ...
A GI/M/1/N-type queueing system with independent and generally distributed interarrival times and ex...
AbstractIn this paper, we consider the discrete-time single-server finite-buffer late arrival with d...
The work presents an analysis of infinite-server queueing systems with renewal arrival process and p...
Bulk-service queueing systems have been widely applied in many areas in real life. While single-serv...
The GI/G/1 queueing model is regarded as a functional which maps the service and interarrival time d...
In this paper, we describe how to make Bayesian inference for the transient behaviour and busy perio...
In this paper, we describe how to make Bayesian inference for the transient behaviour and busy perio...
This paper deals with a batch arrival infinite-buffer single server queue. The interbatch arrival ti...
Consideration is given to the queuing system, consisting of one server and a queue of unlimited capa...
This paper presents an analytical approach to evaluate queues with time-dependent, generally distrib...
This paper proposes a new approach for the time-dependent analysis of stochastic and non-stationary ...
We consider a GI=GI=1 queue with the shortest remaining processing time discipline (SRPT) and light-...
This paper analyzes transient characteristics of Gaussian queues. More specifically, we determine th...
This article undertake Bayesian inference and prediction for GI/M/1 queueing systems. A semiparametr...