By deploying time series analysis, Fourier transform, 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.
By deploying time series analysis, Fourier transform, 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.
Ming Li, PhD, is a professor at Ocean College, Zhejiang University, as well as at the East China Normal University. He has been an active contributor for many years to the fields of computer communications, applied mathematics and statistics,particularly network traffic modeling, fractal time series, and fractional oscillations. He has authored more than 200 articles and 5 monographs on the subjects. He was identified as the Most Cited Chinese Researcher by Elsevier in 2014-2020. Professor Li was recognized as a top 100,000 scholar in all fields in 2019-2020 and a top 2% scholar in the field of Numerical and Computational Mathematics in 2021 by Prof. John P. A. Ioannidis, Stanford University. (https://orcid.org/my-orcid?orcid=0000-0002-2725-353X)
Inhaltsangabe
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
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
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
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
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