A self-tuning reliable dynamic scheme for multicast flow control

Authors:
Naixue Xiong;Yanxiang He;Laurence T. Yang;Yan Yang
Affiliations:
The State Key Lab of Software Engineering, Computer School, Wuhan University;The State Key Lab of Software Engineering, Computer School, Wuhan University;Department of Computer Science, St. Francis Xavier University, Canada;School of Information Science, Japan Advanced Institute of Science and Technology
Venue:
UIC'06 Proceedings of the Third international conference on Ubiquitous Intelligence and Computing
Year:
2006

Citing 6
Cited 2

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pgmcc: a TCP-friendly single-rate multicast congestion control scheme

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Scalable flow control for multicast ABR services in ATM networks

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On multicast flow control for heterogeneous receivers

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Robust rate control for integrated services packet networks

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On max-min fair congestion control for multicast ABR service in ATM

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An adaptive and predictive approach for autonomic multirate multicast networks

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Abstract

This paper describes a novel control-theoretic distributed multicast congestion control scheme, called self-tuning proportional integrative plus derivative (SPID) controller. The control parameters can be designed to ensure the stability of the control loop in terms of source rate. The distributed explicit rate SPID overcomes the vulnerability that suffers from the heterogeneous multicast receivers. The SPID controller is located at the multicast source to regulate the transmission rate. Simulation results demonstrate the efficiency of the proposed scheme in terms of system stability and fast response, low packet loss, and high scalability.