NDLI: Optimization Flow Control: A Queue Proportional Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Dalalah, D.
Copyright Year	2008
Description	Author affiliation: Ind. Eng. Dept., Jordan Univ. of Sc. & Tech., Irbid (Dalalah, D.)
Abstract	In this paper, an optimization approach to flow control in data networks is proposed. The model objective is to maximize the aggregate utilities of the data sources over soft bounds and delay constraints. The network links and data sources are considered as processors of a distributed computation system with a global objective function. The presented model works with different shapes of utility curves under the proposition of elastic data traffic. The approach relies on the observed delay as a measure of the network congestion at the routers. A primal-dual algorithm carried out by the data sources is used to solve the optimization problem in a decentralized manner. The algorithm solves for the rates without the access to any global information. The calculated rates conform to queue proportional fairness. Later, we present a simple approach for estimating the minimum roundtrip delay followed by simulation experiments.
Starting Page	401
Ending Page	407
File Size	425589
Page Count	7
File Format	PDF
ISBN	9781424422241
ISSN	21589860
DOI	10.1109/ISIC.2008.4635948
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent control Control systems USA Councils Operations research Data communication Flow control Fairness Optimization
Content Type	Text
Resource Type	Article

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