Internet Teletraffic Modeling and Estimation
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 mode...
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| Hlavní autori: | , |
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| Médium: | E-kniha |
| Jazyk: | English |
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River Publishers
01.09.2022
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| Edícia: | River Publishers Series in Information Science and Technology |
| ISBN: | 8792982107, 9788792982100 |
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| Abstract | 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. |
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| AbstractList | 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. |
| Author | Lima, Alexandre Barbosa de Amazonas, Jose Roberto de Almeida |
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| Snippet | Network traffic has fractal properties such as impulsiveness, selfsimilarity, and long-range dependence over several time scales, from milliseconds to minutes.... |
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| Title | Internet Teletraffic Modeling and Estimation |
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