[[abstract]]Long-range dependence has been recently asserted to be an important characteristic in modeling telecommunications traffic. Inspired by the integral relationship between the fractional Brownian motion and the standard Brownian motion, we model a process with long-range dependence, Y, as a fractional integral of Riemann-Liouville type applied to a more standard process X-one that does not have long-range dependence. When X takes the form of a sample path process with bounded stationary increments, we provide a criterion for X to satisfy a moderate deviations principle (MDP). Based on the MDP of X, we then establish the MDP for Y. Furthermore, we characterize, in terms of the MDP, the transient behavior of queues when fed with the ...
Recent studies on broadband networks show that real traffics exhibit Long Range Dependence (LRD). Be...
Recent studies on broadband networks show that real traffics exhibit Long Range Dependence (LRD). Be...
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...
Based on the integral relationship between Brownian motion and fractional Brownian motion, we model...
We study the heavy traffic regime of a discrete-time queue driven by correlated inputs, namely the M...
Abstract. We consider a queue fed by Gaussian traffic and give conditions on the input process under...
This chapter is a non-technical introduction to large deviations of queues with long-range dependent...
We analyze the way in which large queues build up in the single-server fractional Brownian motion qu...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
In this dissertation, we establish large deviations results for partial sum processes on infinite ti...
We present the tail asymptotics in a queue serviced at constant rate and whose input process has lon...
We analyse the queue Q^L at a multiplexer with L sources which may display long-range dependence. Th...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
We analyze the queue at a buer with input comprising sessions whose arrival is Poissonian, whose dur...
We study the heavy traffic regime of a multiplexer driven by correlated inputs, namely the M|GI|inpu...
Recent studies on broadband networks show that real traffics exhibit Long Range Dependence (LRD). Be...
Recent studies on broadband networks show that real traffics exhibit Long Range Dependence (LRD). Be...
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...
Based on the integral relationship between Brownian motion and fractional Brownian motion, we model...
We study the heavy traffic regime of a discrete-time queue driven by correlated inputs, namely the M...
Abstract. We consider a queue fed by Gaussian traffic and give conditions on the input process under...
This chapter is a non-technical introduction to large deviations of queues with long-range dependent...
We analyze the way in which large queues build up in the single-server fractional Brownian motion qu...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
In this dissertation, we establish large deviations results for partial sum processes on infinite ti...
We present the tail asymptotics in a queue serviced at constant rate and whose input process has lon...
We analyse the queue Q^L at a multiplexer with L sources which may display long-range dependence. Th...
Telecommunications systems have recently undergone significant innovations. These call for suitable ...
We analyze the queue at a buer with input comprising sessions whose arrival is Poissonian, whose dur...
We study the heavy traffic regime of a multiplexer driven by correlated inputs, namely the M|GI|inpu...
Recent studies on broadband networks show that real traffics exhibit Long Range Dependence (LRD). Be...
Recent studies on broadband networks show that real traffics exhibit Long Range Dependence (LRD). Be...
Empirical studies of the traffic in computer networks suggest that network traffic exhibits self-sim...