Dynamic programming: deterministic and stochastic models
Dynamic programming: deterministic and stochastic models
A control-theoretic approach to flow control
SIGCOMM '91 Proceedings of the conference on Communications architecture & protocols
Improving the throughput of point-to-multipoint ARQ protocols through destination set splitting
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 1)
Multipoint communication by hierarchically encoded data
IEEE INFOCOM '92 Proceedings of the eleventh annual joint conference of the IEEE computer and communications societies on One world through communications (Vol. 3)
An adaptive congestion control scheme for real-time packet video transport
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Optimistic strategies for large-scale dissemination of multimedia information
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Scalable feedback control for multicast video distribution in the Internet
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Log-based receiver-reliable multicast for distributed interactive simulation
SIGCOMM '95 Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
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
Measuring bottleneck link speed in packet-switched networks
Performance Evaluation
Receiver-driven layered multicast
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
Scalable reliable multicast using multiple multicast groups
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Parity-based loss recovery for reliable multicast transmission
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Flow Control for Limited Buffer Multicast
IEEE Transactions on Software Engineering
Network Support for Dynamically Scaled Multimedia Data Streams
NOSSDAV '93 Proceedings of the 4th International Workshop on Network and Operating System Support for Digital Audio and Video
Flow Control Techniques for Multicasting in Gigabit Networks
ICNP '96 Proceedings of the 1996 International Conference on Network Protocols (ICNP '96)
Multicast Flow Control on Local Area Networks
Multicast Flow Control on Local Area Networks
Efficient Multicast Flow Control using Multiple Multicast Groups
Efficient Multicast Flow Control using Multiple Multicast Groups
RMTP: a reliable multicast transport protocol
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
RAMP: a reliable adaptive multicast protocol
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
Reliable Key Management and Data Delivery Method in Multicast Over Wireless IPv6 Networks
Wireless Personal Communications: An International Journal
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Controlling the rate of bulk data multicast to a large number of receivers is difficult, due to the heterogeneity among the end systems' capabilities and their available network bandwidth. If the data transfer rate is too high, some receivers will lose data, and retransmissions will be required. If the data transfer rate is too slow, an inordinate amount of time will be required to transfer the data. In this paper, we examine an approach toward rate-controlled multicast of bulk data in which the sender uses multiple multicast groups to transmit data at different rates to different subgroups of receivers. We present simple algorithms for determining the transmission rate associated with each multicast channel, based on static resource constraints, e.g., network bandwidth bottlenecks. Transmission rates are chosen so as to minimize the average time needed to transfer data to all receivers. Analysis and simulation are used to show that our policies for rate selection perform well for large and diverse receiver groups and make efficient use of network bandwidth. Moreover, we find that only a small number of multicast groups are needed to reap most of the possible performance benefits.