Clustering method and semi-Markov processes for VBR traffic modeling in an ATM network

Author

Alsaialy, Hany D. ; Silvester, John A.

Author_Institution

Dept. of Electr. Eng. Syst., Univ. of Southern California, Los Angeles, CA, USA

Volume

2

fYear

1999

fDate

6/21/1905 12:00:00 AM

Firstpage

1194

Abstract

In this paper we present a framework for modeling computer network variable-bit-rate (VBR) traffic based on a semi-Markov processes. We propose an algorithm based on a simple clustering method to build semi-Markov models for computer network traffic modeling. We introduce our novel mechanism by giving its detailed algorithm, and later analyze its performance by means of simulation. We reveal the efficacy of the proposed method for long-range dependence (LRD) traffic modeling under realistic buffer sizes, and compare the performance of a real computer network VBR traffic trace with the synthesized traces obtained using our mechanism

Keywords

Markov processes; asynchronous transfer mode; buffer storage; computer networks; pattern clustering; telecommunication traffic; ATM network; VBR traffic modeling; buffer sizes; clustering method; computer network variable-bit-rate traffic; long-range dependence; performance; semi-Markov processes; traffic modeling; Algorithm design and analysis; Analytical models; Clustering algorithms; Clustering methods; Computational modeling; Computer networks; Network synthesis; Performance analysis; Telecommunication traffic; Traffic control;

fLanguage

English

Publisher

ieee

Conference_Titel

Global Telecommunications Conference, 1999. GLOBECOM '99

Conference_Location

Rio de Janeireo

Print_ISBN

0-7803-5796-5

Type

conf

DOI

10.1109/GLOCOM.1999.829961

Filename

829961