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{ "item_title" : "Internet Teletraffic Modeling and Estimation", "item_author" : [" Alexandre Barbosa de Lima", "Jose Roberto de Almeida Amazonas "], "item_description" : "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.", "item_img_path" : "https://covers1.booksamillion.com/covers/bam/8/77/004/514/8770045143_b.jpg", "price_data" : { "retail_price" : "63.00", "online_price" : "63.00", "our_price" : "63.00", "club_price" : "63.00", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }
Internet Teletraffic Modeling and Estimation|Alexandre Barbosa de Lima

Internet Teletraffic Modeling and Estimation

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Overview

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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Details

  • ISBN-13: 9788770045148
  • ISBN-10: 8770045143
  • Publisher: River Publishers
  • Publish Date: October 2024
  • Page Count: 186

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