Internet Teletraffic Modeling and Estimation

Network traffic has fractal properties such as impulsiveness, self-similarity, and long-range dependence over several time scales from milliseconds to minutes. These features have motivated the development of new traffic models and traffic control algorithms. Internet Teletraffic Modeling and Estimation presents a new statespace model for Internet traffic, which is based on a finite-dimensional representation of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) random process. This book also investigates the modeling via Autoregressive (AR) processes.