Abstract:

Because autocorrelation functions play an important role in stochastic processes and can be used to model the traffic data practically, it is significant to study how to find a function that best fits the autocorrelation sequence of a real-traffic trace. This paper presents a asymptotic model for autocorrelation functions using Weighted non-linear least squares.

Keywords:  traffic modeling, long-range dependence, autocorrelation functions.

(Full Paper, 352KB)

Biography

Altyeb Altaher Altyeb is a PhD student  ,he holds MSc in computer sciences  University of Khartoum ,2002; B.Sc.  in computer sciences International University  of   Africa 2000.  Field of Interest  and Research include Networking and computer systems.

Sami Mohamed Sharif  is associate professor ,he holds Ph.D. in Electrical Engineering University of Khartoum, 1986;  B.Sc. (Honor) First Class in Electrical Engineering, University of Khartoum, 1980.  Field of Interest and Research include  Networking ,Radio wave propagation ,Communication and computer systems.

Iman Abuel maaly  is assistant professor ,She holds Ph.D. in Pattern recognition ;  Field of Interest and Research include  Networking , Pattern recognition ,Communication and computer systems.

 

BibTex:

@ARTICLE{P1120609002,

AUTHOR = {Altyeb Altaher Altyeb},

TITLE = {Modeling of Autocorrelation Functions Using Weighted Non-linear least Squares},

}

(Full Paper, 352KB)