Fuzzy clustering of aggregated flows for traffic control in ATM networks

Author

Murgu, Alexandru

Author_Institution

Dept. of Math., Jyvaskyla Univ., Finland

Volume

1

fYear

1997

fDate

1-5 Jul 1997

Firstpage

235

Abstract

In this paper we consider the problem of modelling the stochastic flows of traffic in ATM networks. The modelling approach is based on fuzzy set partitioning of the space of feasible flows describing the traffic occurring in virtual connections. The goal of this model is to provide the means for describing the smoothing mechanism of the statistical variations of traffic patterns around the nominal prescribed values. Some typical features from a class of Gaussian multistep smoothing procedures are used in this context. Computer simulation results for ATM asymmetrical flows consisting of 300 and 1000 bits/packet entities flowing in capacitated links are included

Keywords

asynchronous transfer mode; fuzzy set theory; linear programming; packet switching; telecommunication congestion control; telecommunication traffic; ATM networks; Gaussian multistep smoothing; aggregated traffic flows; assignment problem; capacitated links; fuzzy clustering; fuzzy modelling; fuzzy set partitioning; linear programming; stochastic flows; traffic control; virtual connections; Asynchronous transfer mode; Communication system traffic control; Fuzzy control; Fuzzy sets; Intelligent networks; Mathematical model; Smoothing methods; Telecommunication traffic; Traffic control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on

Conference_Location

Barcelona

Print_ISBN

0-7803-3796-4

Type

conf

DOI

10.1109/FUZZY.1997.616374

Filename

616374