Self-optimizing window flow control in high speed data networks

The problem of selecting the optimum window size in high-speed data networks is considered. A self-optimizing method is proposed to adapt the window size to network conditions. The scheme employs a cross-correlation technique for process identification with a random perturbation signal. Simulation r...

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Hauptverfasser: Mason, L.G., Liao, K.-Q.
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description The problem of selecting the optimum window size in high-speed data networks is considered. A self-optimizing method is proposed to adapt the window size to network conditions. The scheme employs a cross-correlation technique for process identification with a random perturbation signal. Simulation results are presented for the isarithmic flow control to show the convergence rate and stability characteristics of the self-optimizing scheme.< >
doi_str_mv 10.1109/GLOCOM.1992.276588
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A self-optimizing method is proposed to adapt the window size to network conditions. The scheme employs a cross-correlation technique for process identification with a random perturbation signal. Simulation results are presented for the isarithmic flow control to show the convergence rate and stability characteristics of the self-optimizing scheme.&lt; &gt;</abstract><pub>IEEE</pub><doi>10.1109/GLOCOM.1992.276588</doi></addata></record>
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ispartof [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE, 1992, p.1224-1233 vol.2
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source IEEE Electronic Library (IEL) Conference Proceedings
subjects Business
Circuits
Differential equations
Intelligent networks
Optimization methods
Packet switching
Performance analysis
Signal processing
Size control
System performance
title Self-optimizing window flow control in high speed data networks
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