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
How can routers help Internet economics?
Proceedings of the first international conference on Information and computation economies
The effects of badly behaved routers on Internet congestion
International Journal of Network Management
Modeling and traffic analysis of the adaptive rate transport protocol
Future Generation Computer Systems - Parallel computing technologies (PaCT-2001)
ARTCP: Efficient Algorithm for Transport Protocol for Packet Switched Networks
PaCT '01 Proceedings of the 6th International Conference on Parallel Computing Technologies
A deterministic quantised rate based flow control scheme for ABR type traffic in ATM networks
ISCC '97 Proceedings of the 2nd IEEE Symposium on Computers and Communications (ISCC '97)
An adaptive physiological homeostasis congestion control
AsiaCSN '07 Proceedings of the Fourth IASTED Asian Conference on Communication Systems and Networks
An Architecture for Network Congestion Control and Charging of Non-cooperative Traffic
Journal of Network and Systems Management
Survey: Flow control in ATM networks: a survey
Computer Communications
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The current congestion control paradigm assumes that end users will use a single mandated algorithm. While the work done in this area has proven to be of great value, we need to recognize as a community that this paradigm is clearly inappropriate for future public networks. The reformulation of congestion control for best-effort service is discussed. We are not attempting to design specific new congestion control algorithms. Instead, we are merely trying to articulate the design principles. Many of these principles have been discussed before; however, with ATM currently designing a best-effort service under the name available bit rate (ABR) and the increasing commercialization of the Internet, these issues warrant revisiting. We outline the service model for best-effort service, describe the set of mechanisms available to implement this service model and contrast their various roles. The implications of our findings for future network design are discussed including some well-known examples of congestion control mechanisms