Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
Equation-based congestion control for unicast applications
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
PBAC: Probe-Based Admission Control
COST 263 Proceedings of the Second International Workshop on Quality of Future Internet Services
Human perception of jitter and media synchronization
IEEE Journal on Selected Areas in Communications
ABE: providing a low-delay service within best effort
IEEE Network: The Magazine of Global Internetworking
Impact of queueing delay estimation error on equilibrium and its stability
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part II
A fuzzy reinforcement learning approach for pre-congestion notification based admission control
AIMS'12 Proceedings of the 6th IFIP WG 6.6 international autonomous infrastructure, management, and security conference on Dependable Networks and Services
| Hi-index | 0.00 |
Network quality of service is traditionally thought to be provided by a combination of scheduling in the network nodes to enforce a capacity sharing policy and traffic controls to prevent congestion that could annihilate that policy. The work presented herein is instead based on an end-to-end argument: A capacity sharing policy is enforced by traffic controls in the hosts at the edges of the network, without any scheduling support in the network. Our proposal is to add a feed-forward control at the transport layer to provide a service that is better suited to conversational and streaming applications than the batch-oriented transfer mode provided by TCP. The paper presents the control and its evaluation: We compare the sharing of capacity between traffic classes and study the loss rate seen by admitted streams. The outcome is that the new control adds a distinctly different service to the service offered by TCP for the Internet.