Title
Capturing the complete multifractal characteristics of network traffic
Abstract
We propose a new multifractal traffic model for network traffic. The model is a combination of a multiplicative cascade with an independent lognormal process. We show that the model has all the important properties observed in data traffic including long-range dependence (LRD), multifractality and lognormality. We also demonstrate that the model is flexible enough to capture the complete multifractal characteristics of data traffic including both the scaling function and the moment factor. On the other hand, we argue that the model is simple from practical point of view having only three parameters. Practical applications for measured data traffic and validation of the model with queueing performance evaluation are also presented.
Year
DOI
Venue
2002
10.1109/GLOCOM.2002.1189052
Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE
Keywords
Field
DocType
Internet,data communication,fractals,log normal distribution,performance evaluation,queueing theory,telecommunication traffic,data traffic,independent lognormal process,lognormality,long-range dependence,moment factor,multifractal traffic model,multifractality,multiplicative cascade,network traffic,queueing performance evaluation,scaling function
Traffic generation model,Multiplicative cascade,Computer science,Fractal,Computer network,Queueing theory,Network traffic simulation,Scaling,Multifractal system,Traffic equations
Conference
Volume
ISBN
Citations 
3
0-7803-7632-3
2
PageRank 
References 
Authors
0.38
8
3
Name
Order
Citations
PageRank
Trang Dinh Dang1706.70
Sándor Molnár230638.56
István Maricza320.38