Scalable feedback control for multicast video distribution in the Internet
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
A reliable multicast framework for light-weight sessions and application level framing
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Receiver-driven layered multicast
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Inter-receiver fairness: a novel performance measure for multicast ABR sessions
SIGMETRICS '98/PERFORMANCE '98 Proceedings of the 1998 ACM SIGMETRICS joint international conference on Measurement and modeling of computer systems
Source-adaptive multilayered multicast algorithms for real-time video distribution
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
On the use of destination set grouping to improve fairness in multicast video distribution
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 2
Optimal deterministic timeouts for reliable scalable multicast
IEEE Journal on Selected Areas in Communications
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Most adaptive multimedia multicast applications require the source to select the number of streams to transmit as well as the QoS parameters for each stream. If the receivers have different bandwidth limits for their devices and have various preferences for the quality of the data, selecting the QoS parameters that generate the best average satisfaction for all receivers is a challenging problem. In this paper, we developed a selection algorithm that is based on the user profiles and the device capabilities. Receivers are required to send their profiles and the bandwidth limitation on their devices to the source once before the session starts. To avoid the implosion problem and have a constant running time for the selection algorithm, we partition the receivers according to the bandwidth limit of their devices into classes and use a virtual representative for each class of receivers.