Internet Teletraffic Modeling and Estimation

Internet Teletraffic Modeling and Estimation

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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. Content: Introduction, The Fractal Nature of Network Traffic, Modeling of Long- Range Dependent Teletraffic, State-Space Modeling, Modeling of Internet Traffic102 Theoretical SACF and ACF graphs of the estimated ARFIMA(0; 0.3684; 0) and AR(15) models . . . . . . . . . . 103 Residualsa#39; QQa€”plot . ... 104 AR(15) modela#39;s poles and zeros diagram. . . . . . . . . . . 104 Realization: MWM(H : 0.9).

Title:Internet Teletraffic Modeling and Estimation
Author: Alexandre Barbosa De Lima, Jose Roberto de Almeida Amazonas
Publisher:River Publishers - 2013-01

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