Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

QoS rate allocation in computer networks under uncertainty

QoS rate allocation in computer networks under uncertainty Purpose – The purpose of this paper is to examine the problem of rate allocation (RA) in computer networks in cases when some parameters are unknown or their values are imprecise. Design/methodology/approach – The application of uncertain variables for the RA problems in computer networks in the presence of uncertainty is proposed. Findings – Decision‐making problem formulations for RA in computer networks with unknown parameters of the utility functions and bandwidths based on the network utility maximization concept are given. Solution algorithms for all these problems are proposed. Research limitations/implications – It is assumed that an expert can describe possible values of unknown network parameters in the form of a certainty distribution. Then, the formalism of uncertain variables is applied and the knowledge of an expert is modelled with certainty distributions. Practical implications – The RA algorithms obtained can be useful for designing and planning computer networks. Originality/value – The new approach to the RA problem in computer networks in the presence of uncertainty, in cases when the probabilistic approach cannot be applied, is proposed and discussed. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Kybernetes Emerald Publishing

QoS rate allocation in computer networks under uncertainty

Kybernetes , Volume 37 (5): 20 – Jun 17, 2008

Loading next page...
 
/lp/emerald-publishing/qos-rate-allocation-in-computer-networks-under-uncertainty-ULWQcM6o5d

References (23)

Publisher
Emerald Publishing
Copyright
Copyright © 2008 Emerald Group Publishing Limited. All rights reserved.
ISSN
0368-492X
DOI
10.1108/03684920810873308
Publisher site
See Article on Publisher Site

Abstract

Purpose – The purpose of this paper is to examine the problem of rate allocation (RA) in computer networks in cases when some parameters are unknown or their values are imprecise. Design/methodology/approach – The application of uncertain variables for the RA problems in computer networks in the presence of uncertainty is proposed. Findings – Decision‐making problem formulations for RA in computer networks with unknown parameters of the utility functions and bandwidths based on the network utility maximization concept are given. Solution algorithms for all these problems are proposed. Research limitations/implications – It is assumed that an expert can describe possible values of unknown network parameters in the form of a certainty distribution. Then, the formalism of uncertain variables is applied and the knowledge of an expert is modelled with certainty distributions. Practical implications – The RA algorithms obtained can be useful for designing and planning computer networks. Originality/value – The new approach to the RA problem in computer networks in the presence of uncertainty, in cases when the probabilistic approach cannot be applied, is proposed and discussed.

Journal

KybernetesEmerald Publishing

Published: Jun 17, 2008

Keywords: Cybernetics; Computer networks; Variance; Communication technologies; Programming and algorithm theory

There are no references for this article.