Teletraffic Modeling relating to Generalized Cauchy Process : Empirical Study

ISBN-13: 9783639212044 / Angielski / Miękka / 2009 / 140 str.

Ming Li

Opis

Though some mathematical tools are used in this book, the contents described are those relating to my empirical study of teletraffic modeling and simulation. Besides, record length that is a fundamental issue in data processing and measurement of teletraffic, statistical detection of denial-of- service flood attacking, which is a hot topic in computer science, are also discussed. Although there are some theoretical results published recently, this book may yet be meaningful for engineers and graduates in the field of teletraffic engineering to comprehend how teletraffic modeling in my research evolves from the exactly self-similar process, that is, fractional Gaussian noise with the single Hurst parameter, to the current model of the generalized Cauchy process with the fractal dimension and the Hurst parameter decoupling. It is my belief that the book in methodology may also serve as a reference for random data modeling in other fields in addition to computer networks.

O autorze

Ming Li, Ph.D., Prof. at East China Normal University, is the chief editor of Int. J. ELECTR & COMPUT, Int. J. ENG & INTERDISCIP MATH. He is the guest editor of MATH PROBL ENG for the special issue on Non-Linear Time Series in 2009-2010, and the guest editor of TELECOMMUN SYST for the special issue on Traffic Modeling in 2008.