Traffic Models in Network
Zhao Ming-wang
Abstract
Zhao Ming-wang
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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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