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