Title :
A shifted gamma distribution model for long-range dependent Internet traffic
Author :
Kim, Sunggon ; Lee, Ju Yong ; Sung, Dan Keun
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., KAIST, Daejon, South Korea
fDate :
3/1/2003 12:00:00 AM
Abstract :
It is important to characterize the distributional property and the correlation structure of traffic arrival processes in modeling internet traffic. The conventional fractional Gaussian noise (fGn) model fails in characterizing the distributional property when the distribution of the input traffic rates is nongaussian. We propose a shifted gamma distribution model which can solve this problem. A linear-time generation algorithm is also given.
Keywords :
Gaussian noise; Internet; correlation methods; gamma distribution; telecommunication traffic; transport protocols; IP communication; Internet traffic modeling; correlation structure; distributional property; fractional Gaussian noise model; input traffic rates; linear-time generation algorithm; long-range dependent Internet traffic; nonGaussian distribution; shifted gamma distribution model; traffic arrival processes; 1f noise; Autocorrelation; Communication networks; Equations; Fluctuations; Gaussian distribution; Gaussian noise; Internet; Telecommunication traffic; Traffic control;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2002.808400
