Suboptimal RED Feedback Control for Buffered TCP Flow Dynamics in Computer Network | Zendy

Naveed Ahmed | Zendy; Xuhua Ouyang | Zendy

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Suboptimal RED Feedback Control for Buffered TCP Flow Dynamics in Computer Network

Author(s) -

Naveed Ahmed,

Xuhua Ouyang

Publication year - 2007

Publication title -

mathematical problems in engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.262

H-Index - 62

eISSN - 1026-7077

pISSN - 1024-123X

DOI - 10.1155/2007/54683

Subject(s) - active queue management , random early detection , network congestion , computer science , router , queue , network packet , control theory (sociology) , process (computing) , synchronization (alternating current) , mathematical optimization , computer network , channel (broadcasting) , control (management) , mathematics , artificial intelligence , operating system

We present an improved dynamic system that simulates the behavior of TCP flows and active queue management (AQM) 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

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