Multifractal Based Network Traffic Modeling [Hardcover]

This helpful book provides an overview of existing broadband traffic modelling based on the Poisson process and its variants. It also offers very good coverage of models based on self-similar processes. The authors have focused throughout on the problem of broadband traffic modelling.

Multifractal Based Network Traffic Modeling provides an overview of existing broadband traffic modeling based on the Poisson process and its variants like the MM1 models. It also provides very good coverage of models based on self-similar processes. Throughout the book, the authors have focused on the problem of broadband traffic modeling keeping in mind long range dependencies in broadband traffic.

Graduate students, researchers, and individuals new to the areas of teletraffic modeling and communication network engineering will find this work especially helpful. The book could also be used as a textbook for a graduate level course on Teletraffic Modeling.

List of Symbols. List of Acronyms. List of Figures. List of Tables. Acknowledgments. Preface.-1: Introduction. 1. Complexity of Broadband Network Traffic. 2. Teletraffic Modeling: Historical Perspective. 3. Motivation for the Problem. 4. Contributions of the Monograph. 5. Organization of the Monograph.-2: Mathematical Preliminaries. 1. Random Processes. 2. Bernoulli (Counting) Process. 3. Poisson Process. 4. Markov Process. 5. Independent Increment Processes. 6. Self Similar Processes. 7. Fractional Brownian Motion. 8. Heavy Tailed Processes. 9. Analysis and Estimation Techniques for Self Similar Processes. 10. Wavelet Based Analysis of Self Similar Process. 11. The Need for Multifractal Processes. 12. Salient points from the chapter.-3: Broadband Network Traffic Modeling. 1. Broadband Network Traffic Characteristics. 2. Network Traffic Modeling Methodology. 3. State-of-the-Art in Teletraffic Modeling. 4. Video Traffic Modeling. 5. Summary of Broadblß