Title :
Testing the Gaussian assumption for self-similar teletraffic models
Author :
Bates, Stephen ; Mclaughlin, Steve
Author_Institution :
Dept. of Electr. Eng., Edinburgh Univ., UK
Abstract :
Both the fractional Brownian motion (fBm) and the autoregressive integrated moving average (ARIMA) models have been applied to teletraffic scenarios in recent years. These models became popular after the discovery that Ethernet and VBR video data appear to possess the property of self-similarity. However the results presented in this paper suggest that Ethernet data is more impulsive than traffic generated by these models
Keywords :
Brownian motion; Gaussian processes; autoregressive moving average processes; local area networks; modelling; random processes; telecommunication traffic; testing; Ethernet; Gaussian assumption; VBR video data; autoregressive integrated moving average model; fractional Brownian motion model; modelling; self-similar teletraffic models; testing; Autocorrelation; Automatic testing; Brownian motion; Ethernet networks; H infinity control; Markov processes; Resource management; Technological innovation; Time series analysis; Traffic control;
Conference_Titel :
Higher-Order Statistics, 1997., Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Banff, Alta.
Print_ISBN :
0-8186-8005-9
DOI :
10.1109/HOST.1997.613564
