Now showing items 1-5 of 5
A Multifractal Wavelet Model with Application to Network Traffic
In this paper, we develop a new multiscale modeling framework for characterizing positive-valued data with long-range-dependent correlations (1/f noise). Using the Haar wavelet transform and a special multiplicative structure ...
Simulation of Non-Gaussian Long-Range-Dependent Traffic using Wavelets
In this paper, we develop a simple and powerful multiscale model for the synthesis of non-Gaussian, long-range dependent (LRD) network traffic. Although wavelets effectively decorrelate LRD data, wavelet-based models have ...
Network Traffic Modeling using a Multifractal Wavelet Model
In this paper, we describe a new multiscale model for characterizing positive-valued and long-range dependent data. The model uses the Haar wavelet transform and puts a constraint on the wavelet coefficients to guarantee ...
Wavelet-based queuing analysis of Gaussian and non-Gaussian long-range-dependent network traffic
In this thesis, we develop a simple and powerful multiscale model for the synthesis of nonGaussian, long-range-dependent (LRD) network traffic. The wavelet transform effectively doecorrelates LRD signals and hence is ...
On the impact of variability on the buffer dynamics in IP networks
The main objective of this paper is to demonstrate in the context of a simple TCP/IP-based network that depending on the underlying assumptions about the inherent nature of the variability of network traffic, very different ...