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Suboptimal RED feedback control for buffered TCP flow dynamics in computer network. (English) Zbl 1169.68345
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.

MSC:
68M20 Performance evaluation, queueing, and scheduling in the context of computer systems
68M15 Reliability, testing and fault tolerance of networks and computer systems
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References:
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