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    Prediction of Congestion and Bursting Phenomena in Network Traffic Based on Multifractal Spectrums

    Source: Journal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 003::page 31012
    Author:
    Liu, Yan
    ,
    Liu, Li
    ,
    Wang, Hang
    DOI: 10.1115/1.4023665
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: From the viewpoint of nonlinear dynamics, a numerical method for predicting the traffic of the local area network (LAN) is presented based on the multifractal spectrums; in particular, for predicting the typical congestion and bursting phenomena, by analyzing real time sequences. First, the multifractal spectrums available to the LAN traffic are derived in some detail and their physical meanings are consequently explained. Then an exponent factor is introduced to the measurement or description of the singularity of the time sequence and the correlations between multifractal spectrums and traffic flow rate are studied in depth. Finally, as an example, the multifractal spectrums presented are used to predict the network traffic of an Ethernet by analyzing its real time sequence. The results show that there exists a distinct relationship between the multifractal spectrums and the traffic flow rate of networks and the multifractal spectrum could be used to efficiently and feasibly predict the traffic flow rate, especially for predicting the singularities of the real time sequences, which are closely related to the congestion and bursting phenomena. Thus, this method can be applied to the prediction and management of the congestion and bursting in the network traffic at an early time. Furthermore, the prediction will become much more accurate and powerful over a long period, since the fluctuations of the traffic flow rate are remarkable.
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      Prediction of Congestion and Bursting Phenomena in Network Traffic Based on Multifractal Spectrums

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    http://yetl.yabesh.ir/yetl1/handle/yetl/151301
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorLiu, Yan
    contributor authorLiu, Li
    contributor authorWang, Hang
    date accessioned2017-05-09T00:57:22Z
    date available2017-05-09T00:57:22Z
    date issued2013
    identifier issn0022-0434
    identifier otherds_135_3_031012.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/151301
    description abstractFrom the viewpoint of nonlinear dynamics, a numerical method for predicting the traffic of the local area network (LAN) is presented based on the multifractal spectrums; in particular, for predicting the typical congestion and bursting phenomena, by analyzing real time sequences. First, the multifractal spectrums available to the LAN traffic are derived in some detail and their physical meanings are consequently explained. Then an exponent factor is introduced to the measurement or description of the singularity of the time sequence and the correlations between multifractal spectrums and traffic flow rate are studied in depth. Finally, as an example, the multifractal spectrums presented are used to predict the network traffic of an Ethernet by analyzing its real time sequence. The results show that there exists a distinct relationship between the multifractal spectrums and the traffic flow rate of networks and the multifractal spectrum could be used to efficiently and feasibly predict the traffic flow rate, especially for predicting the singularities of the real time sequences, which are closely related to the congestion and bursting phenomena. Thus, this method can be applied to the prediction and management of the congestion and bursting in the network traffic at an early time. Furthermore, the prediction will become much more accurate and powerful over a long period, since the fluctuations of the traffic flow rate are remarkable.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePrediction of Congestion and Bursting Phenomena in Network Traffic Based on Multifractal Spectrums
    typeJournal Paper
    journal volume135
    journal issue3
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4023665
    journal fristpage31012
    journal lastpage31012
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2013:;volume( 135 ):;issue: 003
    contenttypeFulltext
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    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
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