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Hardcover: 488 pages
Publisher: Springer; 1 edition (September 1, 2008)
Language: English
ISBN-10: 3540706038
ISBN-13: 978-3540706038

Product Description


This book presents different approaches in IP traffic theory and classifies them, especially towards applications in the Internet. It comprises the state of the art in this area, which is currently presented only by numerous research papers and overview articles.

The book provides an ideal starting point for detailed studies of traffic analysis in IP networks. It gives the reader the possibility to judge on different models and to select the appropriate for his individual needs in applications.

The mathematical toolbox for this is kept as low as low as possible  the authors build a bridge between abstract representation of mathematical tools and applications. This, in turn, is certainly the most interesting topic for experts planning large data networks as well as practitioners and researchers working in this area The book also serves as useful reference for lecturers and students at universities.

About the Author


Professor Dr.- Ing. Christian Grimm has been working for more than ten years with measuring and modelling of data traffic in packet switched networks. In his PhD thesis he investigated complex methods for the traffic modelling in the World Wide Web. At present he is head of the division for research and development and new network services at the regional computing centre for lower saxony. Since 2003 he has an assistant professorship (Juniorprofessur) in computer networks at the faculty of electrical engineering and computer sciences at the university of Hannover.

Professor Dr. rer.nat. Georg Schlüchtermann finished his study in Mathematics in 1984. He habilitated 1994 at the Ludwig-Maximilians-Universität in functional analysis. Since 2001 he is apl. professor at the faculty for mathematics, computer sciences and statistics at the university of Munich. He is lecturing in the fields of traffic theory, mathematical modelling in mobile communication and finance mathematics.

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