DocumentCode
3253550
Title
An improved fast algorithm for simulating self-similar traffic with application in ATM networks
Author
Daut, David G. ; Yu, Ming
Author_Institution
Rutgers State Univ., Piscataway, NJ, USA
fYear
1999
fDate
1999
Firstpage
14
Lastpage
17
Abstract
This paper presents an improved self-similar traffic generator, based on fast fractional Gaussian noise, for the purpose of fast simulation of long term correlation of self-similar traffic. The algorithm developed in this study is more efficient than existing methods since it only requires Hurst parameter and can arrive higher accurate sample points if necessary. The effectiveness of these methods has been demonstrated by some numerical examples
Keywords
Gaussian noise; asynchronous transfer mode; telecommunication traffic; ATM networks; Hurst parameter; fast algorithm; fractional Gaussian noise; long term correlation; self-similar traffic; traffic generator; 1f noise; Autocorrelation; Equations; Fractals; Intelligent networks; Noise generators; Polynomials; Stochastic processes; Telecommunication traffic; Traffic control;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications, Computers and Signal Processing, 1999 IEEE Pacific Rim Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-5582-2
Type
conf
DOI
10.1109/PACRIM.1999.799466
Filename
799466
Link To Document