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Internet Teletraffic Modeling and Estimation

Computers


by
Alexandre Barbosa de Lima and Jose Roberto de Almeida, Dr. Amazonas

Book Details

Format: EPUB

Page count: 186 pages

File size: 10.9 MB

Protection: DRM

Language: English


Network traffic has fractal properties such as impulsiveness, self-similarity, and long­range 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 state-space 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.

Network traffic has fractal properties such as impulsiveness, self-similarity, and long­range 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 state-space model for Internet traffic, which is based on a finite-dimensional representation of the Autoregressive Fractionally Integrated Moving Average (ARFIMA) random process.… (more)

Network traffic has fractal properties such as impulsiveness, self-similarity, and long­range 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 state-space 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.

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