Systems and Means of Informatics
2014, Volume 24, Issue 2, pp 3754
ESTIMATION OF THE EFFECTIVE BANDWIDTH OF A NODE
IN AN INFOCOMMUNICATION TANDEM NETWORK
 A. V. Borodina
 Å. V. Morozov
Abstract
The properties of the effective bandwidth (EB) regenerative estimate
of a communication node in the tandem network are investigated. This problem
has been studied earlier for a separate node with regenerative input. This
setting is natural for acyclic networks because the input renewal process becomes
positive recurrent regenerative while crossing the nodes of such a network (under
the steadystate condition). Based on the theory of large deviations results, an
approximation of the EB is proposed which quality is verified by simulation of a
few tandem networks. The Weibull distribution with a light tail, the truncated
Pareto distribution, and the exponential distribution are used for service time
and the arrived workload, and the number of the nodes is varied from 2 to 40.
It is shown that the EB estimator obtained by this approximation ensures the
following condition: the overflow probability estimate is always less than the
required given value (guarantee of quality of service). This result indicates the
possibility to use the proposed approximation for choosing the EB values in the
nodes in infocommunication highly reliable tandem networks.
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[+] About this article
Title
ESTIMATION OF THE EFFECTIVE BANDWIDTH OF A NODE
IN AN INFOCOMMUNICATION TANDEM NETWORK
Journal
Systems and Means of Informatics
Volume 24, Issue 2, pp 3754
Cover Date
20131130
DOI
10.14357/08696527140203
Print ISSN
08696527
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
tandem network; effective bandwidth; regenerative input; quality
of service; theory of large deviations; approximation; statistical estimation;
simulation
Authors
A. V. Borodina , and Å. V. Morozov ,
Author Affiliations
Institute of Applied Mathematical Research, Karelian Research Center, Russian Academy of Sciences, 11 Pushkinskaya Str., Petrozavodsk 185910, Republic
of Karelia, Russian Federation
Petrozavodsk State University, 33 Lenin Str., Petrozavodsk 185910, Republic
of Karelia, Russian Federation
