AbstractWe consider a buffered queueing system that is fed by a Gaussian source and drained at a constant rate. The fluid offered to the system in a time interval (0,t] is given by a separable continuous Gaussian process Y with stationary increments. The variance function σ2:t↦VarYt of Y is assumed to be regularly varying with index 2H, for some 0<H<1.By proving conditional limit theorems, we investigate how a high buffer level is typically achieved. The underlying large deviation analysis also enables us to establish the logarithmic asymptotics for the probability that the buffer content exceeds u as u→∞. In addition, we study how a busy period longer than T typically occurs as T→∞, and we find the logarithmic asymptotics for the probabili...
We establish functional central limit theorems (FCLTs) for a cumulative input process to a fluid que...
With M(t):=sups∈[0, t]A(s)−s denoting the running maximum of a fractional Brownian motion A(⋅) with ...
This paper analyzes transient characteristics of Gaussian queues. More specifically, we determine th...
We consider a buffered queueing system that is fed by a Gaussian source and drained at a constant ra...
AbstractWe consider a buffered queueing system that is fed by a Gaussian source and drained at a con...
In this paper we investigate Gaussian queues in the light-traffic and in the heavy-traffic regime. L...
In this paper, a strong asymptotic estimate for the queue content distribution of a fluid queue fed ...
We present three challenging open problems that originate from the analysis of the asymptotic behavi...
In this paper we consider a queue fed by a large number of independent continuous-time Gaussian proc...
Gaussian processes are a powerful tool in networkmodeling since they permit to capture the longmemor...
This chapter gives an overview of some properties of the storage occupancy process in a buffer fed w...
AbstractStochastic variables associated to a single-server queueing system with finite population ar...
Abstract This paper deals with a fluid ueue with a Gausszan-type input rate process. The Gaussian-ty...
A fractional Brownian queueing model, that is, a fluid model with an input of a fractional Brownian ...
With M(t):=sups∈[0, t]A(s)−s denoting the running maximum of a fractional Brownian motion A(⋅) with ...
We establish functional central limit theorems (FCLTs) for a cumulative input process to a fluid que...
With M(t):=sups∈[0, t]A(s)−s denoting the running maximum of a fractional Brownian motion A(⋅) with ...
This paper analyzes transient characteristics of Gaussian queues. More specifically, we determine th...
We consider a buffered queueing system that is fed by a Gaussian source and drained at a constant ra...
AbstractWe consider a buffered queueing system that is fed by a Gaussian source and drained at a con...
In this paper we investigate Gaussian queues in the light-traffic and in the heavy-traffic regime. L...
In this paper, a strong asymptotic estimate for the queue content distribution of a fluid queue fed ...
We present three challenging open problems that originate from the analysis of the asymptotic behavi...
In this paper we consider a queue fed by a large number of independent continuous-time Gaussian proc...
Gaussian processes are a powerful tool in networkmodeling since they permit to capture the longmemor...
This chapter gives an overview of some properties of the storage occupancy process in a buffer fed w...
AbstractStochastic variables associated to a single-server queueing system with finite population ar...
Abstract This paper deals with a fluid ueue with a Gausszan-type input rate process. The Gaussian-ty...
A fractional Brownian queueing model, that is, a fluid model with an input of a fractional Brownian ...
With M(t):=sups∈[0, t]A(s)−s denoting the running maximum of a fractional Brownian motion A(⋅) with ...
We establish functional central limit theorems (FCLTs) for a cumulative input process to a fluid que...
With M(t):=sups∈[0, t]A(s)−s denoting the running maximum of a fractional Brownian motion A(⋅) with ...
This paper analyzes transient characteristics of Gaussian queues. More specifically, we determine th...