Add to ORKGStudy of long-range dependence (LRD) properties in real traffic has received an increasing attention in traffic analysis. A wavelet-based tool for the analysis of LRD is presented in this paper together with a semi-parametric estimator of the Hurst parameter. The estimator has been proved to be unbiased under very general conditions and efficient under Gaussian assumptions. Analysis of the Bellcore Ethernet traces as well as of some VBR video traces using the wavelet-based estimator is reported
Video is becoming the most important data in asynchronous transfer mode (ATM) networks. In ATM netwo...
Masters ThesisIn this thesis, we develop a simple and powerful multiscale model for the synthesis of...
We present a new method to estimate the Hurst parameter of certain classes of random processes. Our...
Study of long-range dependence (LRD) properties in real traffic has received an increasing attention...
Abstract—A wavelet-based tool for the analysis of long-range dependence and a related semi-parametri...
A wavelet-based tool is reported for the analysis of Long-Range Dependence (LRD) traffic to allow fo...
Correct and efficient estimation of the Hurst parameter H of long-range dependent (LRD) traffic is i...
Recent traffic measurement studies from a wide range of working packet networks have convincingly sh...
Abstract — Correct and efficient estimation of the Hurst pa-rameter of long-range dependent (LRD) vi...
Internet traffic exhibits self-similarity and long-range dependence (LRD). Accurate estimation of st...
Measurements of data traffic in telecommunication networks show that the packet arrival process exhi...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
Long-range-dependent time series are endemic in the statistical analysis of Internet traffic. The Hu...
Internet traffic exhibits self-similarity and long-range dependence (LRD) on various time scales. I...
An on-line version of the Abry-Veitch wavelet based estimator of the Hurst parameter is presented. I...
Video is becoming the most important data in asynchronous transfer mode (ATM) networks. In ATM netwo...
Masters ThesisIn this thesis, we develop a simple and powerful multiscale model for the synthesis of...
We present a new method to estimate the Hurst parameter of certain classes of random processes. Our...
Study of long-range dependence (LRD) properties in real traffic has received an increasing attention...
Abstract—A wavelet-based tool for the analysis of long-range dependence and a related semi-parametri...
A wavelet-based tool is reported for the analysis of Long-Range Dependence (LRD) traffic to allow fo...
Correct and efficient estimation of the Hurst parameter H of long-range dependent (LRD) traffic is i...
Recent traffic measurement studies from a wide range of working packet networks have convincingly sh...
Abstract — Correct and efficient estimation of the Hurst pa-rameter of long-range dependent (LRD) vi...
Internet traffic exhibits self-similarity and long-range dependence (LRD). Accurate estimation of st...
Measurements of data traffic in telecommunication networks show that the packet arrival process exhi...
The intensity of Long-Range Dependence (LRD) for communications network traffic can be measured usin...
Long-range-dependent time series are endemic in the statistical analysis of Internet traffic. The Hu...
Internet traffic exhibits self-similarity and long-range dependence (LRD) on various time scales. I...
An on-line version of the Abry-Veitch wavelet based estimator of the Hurst parameter is presented. I...
Video is becoming the most important data in asynchronous transfer mode (ATM) networks. In ATM netwo...
Masters ThesisIn this thesis, we develop a simple and powerful multiscale model for the synthesis of...
We present a new method to estimate the Hurst parameter of certain classes of random processes. Our...