2004Journal of Wuhan Yejin University of Science and TechnologyRequires access

Traffic Models in Network

Zhao Ming-wang

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Abstract

Traffic models are crucial to traffic predication and performance evaluation of networks. A good traffic model must be able to describe network traffic characteristics and predict the practical traffic condition accurately. Recently much research shows that many kinds of network traffics are self-similar,which can't be described accurately by traditional traffic models based on Poisson distribution. This paper,according to different correlation characteristics of traffic, introduces typical network traffic models and analyze their respective characteristics.

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What this paper is about

Traffic models are crucial to traffic predication and performance evaluation of networks. A good traffic model must be able to describe network traffic characteristics and predict the practical traffic condition accurately. Recently much research shows that many kinds of network traffics are self-similar,which can't be described accurately by traditional traffic models based on Poisson distribution. This paper,according to different correlation characteristics of traffic, introduces typical network traffic models and analyze their respective characteristics.

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Available abstract

Traffic models are crucial to traffic predication and performance evaluation of networks. A good traffic model must be able to describe network traffic characteristics and predict the practical traffic condition accurately. Recently much research shows that many kinds of network traffics are self-similar,which can't be described accurately by traditional traffic models based on Poisson distribution. This paper,according to different correlation characteristics of traffic, introduces typical network traffic models and analyze their respective characteristics.

Key concepts: Traffic generation model, Network traffic simulation, Traffic congestion reconstruction with Kerner's three-phase theory, Computer science, Traffic model, Poisson distribution, Network model, Microscopic traffic flow model

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