Now showing items 1-4 of 4
Fast, Exact Synthesis of Gaussian and nonGaussian Long-Range-Dependent Processes
1/<i>f</i> noise and statistically self-similar processes such as fractional Brownian motion (fBm) are vital for modeling numerous real-world phenomena, from network traffic to DNA to the stock market. Although several ...
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 ...
Toward an Improved Understanding of Network Traffic Dynamics
Since the discovery of long range dependence in Ethernet LAN traces there has been significant progress in developing appropriate mathematical and statistical techniques that provide a physical-based, networking-related ...