An on-line version of the Abry-Veitch (see IEEE Trans. Info. Theory, vol. 44, p. 2-15, 1998) wavelet based estimator of the Hurst parameter is presented. It has very low memory and …
P Abry, D Veitch - IEEE transactions on information theory, 1998 - ieeexplore.ieee.org
A wavelet-based tool for the analysis of long-range dependence and a related semi- parametric estimator of the Hurst parameter is introduced. The estimator is shown to be …
S Molnár, TD Dang - Globecom'00-IEEE. Global …, 2000 - ieeexplore.ieee.org
Measured traffic traces from live packet networks often contain non-stationary effects like level shifts or polynomial trends. In these cases the popular tests for long range dependence …
M Roughan, D Veitch - … Annual Joint Conference of the IEEE …, 1999 - ieeexplore.ieee.org
Previous measurements of various types of network traffic have shown evidence consistent with long-range dependence and self-similarity. However, an alternative explanation for …
Careful statistical analyses indicate that the measured traffic traces from live packet networks often contain non-stationary effects like level shifts or polynomial trends. In these cases …
D Veitch, P Abry - IEEE Transactions on Information Theory, 1999 - ieeexplore.ieee.org
A joint estimator is presented for the two parameters that define the long-range dependence phenomenon in the simplest case. The estimator is based on the coefficients of a discrete …
Over the last few years, the network community has started to make heavy use of novel concepts such as self-similarity and long-range dependence (LRD). Despite their wide use …
S Bregni, L Primerano - IEEE Global Telecommunications …, 2004 - ieeexplore.ieee.org
Experimental measurements show that Internet traffic exhibits self-similarity and long-range dependence (LRD). A delicate issue is the estimation of traffic statistical quantities that …
K Chandra, C You, G Olowoyeye… - Submitted to INFOCOM ' …, 1998 - Citeseer
In this paper non-linear threshold autoregressive models are examined for use in modeling the temporal variation in the byte-rate in Ethernet traffic. The model is comprised of a number …