DocumentCode :
2312584
Title :
Efficient fractional Gaussian noise generation using the spatial renewal process
Author :
Taralp, T. ; Devetsikiotis, Michael ; Lambadaris, IOannis
Author_Institution :
Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, Ont.
Volume :
3
fYear :
1998
fDate :
7-11 Jun 1998
Firstpage :
1456
Abstract :
An efficient and easy technique to generate fractional Gaussian noise traffic based on the spatial renewal process is developed and demonstrated. The synthetically generated trace reproduces the desired marginal, autocorrelation and Hurst parameters well. The model is particularly suitable for use in the discrete-event simulation of queueing systems involving VBR compressed video and aggregated LAN traffic
Keywords :
Gaussian noise; discrete event simulation; local area networks; parameter estimation; queueing theory; telecommunication traffic; Hurst parameters; VBR compressed video; aggregated LAN traffic; autocorrelation; discrete-event simulation; fractional Gaussian noise generation; fractional Gaussian noise traffic; marginal; queueing systems; spatial renewal process; synthetically generated trace; Autocorrelation; Discrete event simulation; Gaussian noise; Local area networks; Mathematics; Statistics; Steady-state; Systems engineering and theory; Traffic control; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communications, 1998. ICC 98. Conference Record. 1998 IEEE International Conference on
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-4788-9
Type :
conf
DOI :
10.1109/ICC.1998.683067
Filename :
683067
Link To Document :
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