A control-theoretic approach to flow control
SIGCOMM '91 Proceedings of the conference on Communications architecture & protocols
Feedback control of congestion in packet switching networks: the case of a single congested node
IEEE/ACM Transactions on Networking (TON)
pgmcc: a TCP-friendly single-rate multicast congestion control scheme
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
The utility of feedback in layered multicast congestion control
NOSSDAV '01 Proceedings of the 11th international workshop on Network and operating systems support for digital audio and video
Extending equation-based congestion control to multicast applications
Proceedings of the 2001 conference on Applications, technologies, architectures, and protocols for computer communications
Scalable flow control for multicast ABR services in ATM networks
IEEE/ACM Transactions on Networking (TON)
Multicast Feedback Suppression Using Representatives
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
A Rate-Based End-to-End Multicast Congestion Control Protocol
ISCC '00 Proceedings of the Fifth IEEE Symposium on Computers and Communications (ISCC 2000)
Performance issues in public ABR service
IEEE Communications Magazine
On max-min fair congestion control for multicast ABR service in ATM
IEEE Journal on Selected Areas in Communications
An adaptive and predictive approach for autonomic multirate multicast networks
ACM Transactions on Autonomous and Adaptive Systems (TAAS)
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With the increase of multicast data applications, research interests have been focused on the design of congestion control scheme for multicast communications. One challenge comes from the heterogeneous multicast receivers, especially those with large propagation delays, which means the feedbacks arriving at the source node are somewhat outdated and harmful to the control actions. To attack this problem, this paper describes a novel multicast congestion control scheme, which is based on the proportional plus neural network (PNN) predictive technique. The congestion controller is located at the multicast source and uses the explicit rate algorithm to regulate the transmission rate. This network-assisted property is different from the existed control schemes in that the multicast source is able to predict the available bandwidth at those receiver nodes for which the back control packets experience very long propagation delay and possibly cause irresponsiveness of a multicast flow. The proposed control scheme is more responsive to the network status thus the rate adaptation can be made in a timely manner for the sender to react to the network congestion quickly. Simulation results demonstrate the efficiency of the proposed scheme in terms of fast response, high link utilization and stable buffer occupancy.