This book investigates teletraffic modeling and simulation through an empirical study, extending beyond theoretical results to offer practical insights. The author, Ming Li, details the evolution of teletraffic modeling from the exactly self-similar process (fractional Gaussian noise) to the generalized Cauchy process, which decouples fractal dimension and the Hurst parameter. The work also addresses fundamental issues in data processing, such as record length and statistical detection of denial-of-service flood attacks, a significant topic in computer science. It aims to provide engineers and graduates in teletraffic engineering with a methodological reference applicable to other fields beyond computer networks.

The book presents an empirical study on teletraffic modeling, focusing on the evolution from self-similar processes to the generalized Cauchy process. It also addresses practical computer science topics like denial-of-service attack detection and data processing fundamentals. The author believes the methodology may serve as a reference for engineers and graduates in teletraffic engineering and other related fields.