Fractal Teletraffic Modeling and Delay Bounds in Computer Communications
- Available for pre-order. Item will ship after March 14, 2022
By deploying time series analysis, Fourier transformation, functional analysis, min-plus convolution, and fractional order systems and noise, this book proposes fractal traffic modeling and computations of delay bounds, aiming to improve the quality of service in computer communication networks.
As opposed to traditional studies of teletraffic delay bounds, the author proposes a novel fractional noise, generalized fractional Gaussian noise (gfGn) approach, and introduces a new fractional noise, generalized Cauchy (GC) process for traffic modeling.
Researchers and graduates in computer science, applied statistics, and applied mathematics will find the book beneficial.
Table of Contents
1. Time series 2. Fourier transform 3. Applied Functional 4. Min-plus convolution 5. Noise and systems of fractional order 6. Fractional Gaussian noise and traffic modeling 7. Generalized fractional Gaussian noise and traffic modeling 8. Generalized Cauchy process and traffic modeling 9. Traffic bound of generalized Cauchy type 10. Fractal traffic delay bounds 11. Computations of scale factors 12. Postscript
Ming Li, PhD from the City University of Hong Kong, is a professor in Zhejiang University as well as the East China Normal University.