Title :
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
fDate :
6/21/1905 12:00:00 AM
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;
Conference_Titel :
Global Telecommunications Conference, 1999. GLOBECOM '99
Conference_Location :
Rio de Janeireo
Print_ISBN :
0-7803-5796-5
DOI :
10.1109/GLOCOM.1999.829961
