DocumentCode :
340989
Title :
A non-Gaussian self-similar process for broadband heavy traffic modeling
Author :
Karasaridis, Anestis ; Hatzinakos, Dimitrios
Author_Institution :
Dept. of Electr. & Comput. Eng., Toronto Univ., Ont., Canada
Volume :
5
fYear :
1998
fDate :
1998
Firstpage :
2995
Abstract :
We extend previous work on bursty network traffic characterization and management using heavy tailed self-similar processes. We revisit the proposed model for heavy network traffic, which is based on the linear fractional stable noise process to present a new algorithmic procedure for the estimation of the parameters of the model. Furthermore, we derive an asymptotic lower bound and an upper bound of the overflow probability of an ATM switch buffer
Keywords :
asynchronous transfer mode; broadband networks; buffer storage; fractals; noise; packet switching; parameter estimation; probability; telecommunication network management; telecommunication traffic; ATM switch buffer; algorithmic procedure; asymptotic lower bound; broadband heavy traffic modeling; bursty network traffic characterization; bursty network traffic management; heavy network traffic; heavy tailed self-similar processes; linear fractional stable noise process; nonGaussian self-similar process; overflow probability; parameter estimation; upper bound; 1f noise; Asynchronous transfer mode; Broadband communication; Disaster management; Educational institutions; Parameter estimation; Switches; Telecommunication traffic; Traffic control; Upper bound;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 1998. GLOBECOM 1998. The Bridge to Global Integration. IEEE
Conference_Location :
Sydney,NSW
Print_ISBN :
0-7803-4984-9
Type :
conf
DOI :
10.1109/GLOCOM.1998.776622
Filename :
776622
Link To Document :
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