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Network traffic has fractal properties such as impulsiveness, selfsimilarity, 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. This book 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. The modeling via Autoregressive (AR) processes is also investigated.
Alexandre Barbosa de Lima, Jose Roberto de Almeida Amazonas
List of Tables List of Figures Preface List of acronyms and symbols 1 Introduction 2 The fractal nature of network traffic 3 Modeling of long-range dependent teletraffic 4 State-space modeling 5 Modeling of Internet traffic 6 Conclusions Bibliography Index About the Authors
