Suboptimal RED feedback control for buffered TCP flow dynamics in computer network
type: Item
instance of: scholarly article
title: Suboptimal RED feedback control for buffered TCP flow dynamics in computer network
zbMATH Open document ID: 1169.68345
DOI: 10.1155/2007/54683
author: X. H. Ouyang
author: N. U. Ahmed
published in: Mathematical Problems in Engineering
publication date: 2008-08-13T00:00:00Z
full work available at URL: https://eudml.org/doc/55899
review text: Summary: We present an improved dynamical system that simulates the behavior of TCP flows and active queue management system. This system can be modeled by a set of stochastic differential equations driven by a doubly stochastic point process with intensities being the controls. The feedback laws proposed monitor the status of buffers and multiplexor of the router, detect incipient congestion by sending warning signals to the sources. The simulation results show that the optimal feedback control law from the class of linear as well as quadratic polynomials can improve the system performance significantly in terms of maximizing the link utilization, minimizing congestion, packet losses, as well as global synchronization. The optimization process used is based on random recursive search technique known as RRS.
Mathematics Subject Classification ID: 68M20
Mathematics Subject Classification ID: 68M15
zbMATH DE Number: 5311267
zbMATH Keywords: active queue management system
zbMATH Keywords: system performance
zbMATH Keywords: random recursive search
MaRDI profile type: Publication
OpenAlex ID: W2082518332
cites work: Suboptimal feedback control of TCP flows in computer network using random early discard (RED) mechanism
description: scientific article; zbMATH DE number 5311267