In the mid 1990s, it was shown that the statistics of aggregated time series from Internet
traffic departed from those of traditional short range-dependent models, and were instead …

On/off models are common inputs for a variety of communication network models as well as
storage and inventory models. A stationary renewal process alternating periods of activity …

We develop a network calculus for processes whose burstiness is stochastically bounded by
general decreasing functions. This calculus enables one to prove the stability of feedforward …

The aggregation procedure is a natural way to analyse signals which exhibit long‐range‐
dependent features and has been used as a basis for estimation of the Hurst parameter, H …

In recent years the significance of Gaussian processes to communication networks has
grown considerably. The inherent flexibility of the Gaussian traffic model enables the …

The goals of the present contribution are twofold. First, we propose the use of a non-
Gaussian long-range dependent process to model Internet traffic aggregated time series …

This paper employs a “rolling sample” approach to estimate Hurst exponents for emerging
markets squared and absolute returns. The findings suggests that these markets possess …

The packet losses imposed by IP networks can cause long and erratic recovery delays,
since senders must often use conservative loss detection and retransmission mechanisms …

One of the most significant findings of traffic measurement studies over the last decade has
been the observed self-similarity in packet network traffic. Subsequent research has focused …

Real-time multimedia transport has stringent quality of service requirements, which are
generally not supported by current network architectures. In emerging mobile ad hoc …