This paper shows that fractional Brownian motion with H < 1=2 can arise as a limit of a simple class of traffic processes that we call “scheduled traffic models”. To our knowledge, this paper provides the first simple traffic model leading to fractional Brownnian motion with H < 1=2: We also discuss some immediate implications of this result for queues fed by scheduled traffic, including a heavy-traffic limit theorem. 1
A multiple fractional Brownian motion (FBM)-based traffic model is considered. Various lower bounds ...
Gaussian processes are a powerful tool in networkmodeling since they permit to capture the longmemor...
Empirical studies of data traffic in high-speed networks suggest that network traffic exhibits self-...
Abstract. We study the weak convergence to Fractional Brownian motion and some examples with applica...
We analyze the way in which large queues build up in the single-server fractional Brownian motion qu...
textabstractHighly-aggregated traffic in communication networks is often modeled as fractional Brown...
We introduce a general non-Gaussian, self-similar, stochastic process called the fractional Lévy mot...
Several queueing systems in heavy traffic regimes are shown to admit a diffusive approximation in te...
This chapter gives an overview of some properties of the storage occupancy process in a buffer fed w...
The Fractional Brownian motion (fBm) traffic model is important because it captures the self-similar...
Abstract. A Brownian time process is a Markov process subordinated to the absolute value of an indep...
Consider a queue with a stochastic fluid input process modeled as fractional Brownian motion (fBM). ...
We study the heavy traffic regime of a discrete-time queue driven by correlated inputs, namely the M...
The factional Brownian motion has attracted significant attention because it accurately represents I...
Several queueing systems in heavy traffic regimes are shown to admit a diffusive approximation in te...
A multiple fractional Brownian motion (FBM)-based traffic model is considered. Various lower bounds ...
Gaussian processes are a powerful tool in networkmodeling since they permit to capture the longmemor...
Empirical studies of data traffic in high-speed networks suggest that network traffic exhibits self-...
Abstract. We study the weak convergence to Fractional Brownian motion and some examples with applica...
We analyze the way in which large queues build up in the single-server fractional Brownian motion qu...
textabstractHighly-aggregated traffic in communication networks is often modeled as fractional Brown...
We introduce a general non-Gaussian, self-similar, stochastic process called the fractional Lévy mot...
Several queueing systems in heavy traffic regimes are shown to admit a diffusive approximation in te...
This chapter gives an overview of some properties of the storage occupancy process in a buffer fed w...
The Fractional Brownian motion (fBm) traffic model is important because it captures the self-similar...
Abstract. A Brownian time process is a Markov process subordinated to the absolute value of an indep...
Consider a queue with a stochastic fluid input process modeled as fractional Brownian motion (fBM). ...
We study the heavy traffic regime of a discrete-time queue driven by correlated inputs, namely the M...
The factional Brownian motion has attracted significant attention because it accurately represents I...
Several queueing systems in heavy traffic regimes are shown to admit a diffusive approximation in te...
A multiple fractional Brownian motion (FBM)-based traffic model is considered. Various lower bounds ...
Gaussian processes are a powerful tool in networkmodeling since they permit to capture the longmemor...
Empirical studies of data traffic in high-speed networks suggest that network traffic exhibits self-...