Modeling high-speed network traffic with truncated α-stable processes

Lin Bai, Wenyang Guan, Chen Chen, Jianhua He, Rui Wang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    It has been reported that high-speed communication network traffic exhibits both long-range dependence (LRD) and burstiness, which posed new challenges in network engineering. While many models have been studied in capturing the traffic LRD, they are not capable of capturing efficiently the traffic impulsiveness. It is desirable to develop a model that can capture both LRD and burstiness. In this letter, we propose a truncated α-stable LRD process model for this purpose, which can characterize both LRD and burstiness accurately. A procedure is developed further to estimate the model parameters from real traffic. Simulations demonstrate that our proposed model has a higher accuracy compared to existing models and is flexible in capturing the characteristics of high-speed network traffic.

    Original languageEnglish
    Title of host publicationFuture Communication, Computing, Control and Management
    EditorsY. Zhang
    Place of PublicationBerlin
    PublisherSpringer Verlag
    Pages599-603
    Number of pages5
    Volume1
    ISBN (Electronic)9783642273117
    ISBN (Print)9783642273100
    DOIs
    Publication statusPublished - 2012
    Event2011 International Conference on Future Communication, Computing, Control and Management, ICF4C 2011 - Phuket, Thailand
    Duration: 16 Dec 201117 Dec 2011

    Publication series

    NameLecture Notes in Electrical Engineering
    Volume141
    ISSN (Print)1876-1100
    ISSN (Electronic)1876-1119

    Conference

    Conference2011 International Conference on Future Communication, Computing, Control and Management, ICF4C 2011
    Country/TerritoryThailand
    CityPhuket
    Period16/12/1117/12/11

    Keywords

    • network traffic modeling
    • System modeling
    • truncated α-stable processes

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering

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