Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Dynamics of random early detection
SIGCOMM '97 Proceedings of the ACM SIGCOMM '97 conference on Applications, technologies, architectures, and protocols for computer communication
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
Explicit allocation of best-effort packet delivery service
IEEE/ACM Transactions on Networking (TON)
An ABR Feedback Control Scheme with Tracking
INFOCOM '97 Proceedings of the INFOCOM '97. Sixteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Driving the Information Revolution
How to Make Assured Service More Assured
ICNP '99 Proceedings of the Seventh Annual International Conference on Network Protocols
Feedback-Based Adaptive Packet Marking for Proportional Bandwidth Allocation
IEEE Transactions on Parallel and Distributed Systems
Justice: flexible and enforceable per-source bandwidth allocation
NETWORKING'05 Proceedings of the 4th IFIP-TC6 international conference on Networking Technologies, Services, and Protocols; Performance of Computer and Communication Networks; Mobile and Wireless Communication Systems
Hi-index | 0.24 |
Currently there is not enough work on the Internet weighted fair bandwidth sharing without per-flow management, especially when both UDP and TCP flows of different RTTs and different bandwidth targets coexist. This paper contains two contributions:1.A mechanism called SCALE-WFS, Scalable Core with Aggregation Level labEling - Weighted Fair bandwidth-Sharing, is presented to achieve near-optimal Max-Min weighted fairness without per-flow management at core routers, in the context of differentiated service (Diffserv) networks. Through extensive simulation and simple analysis, we show the performance problems with current solutions and propose SCALE-WFS to solve these problems. This scheme works effectively for different flow weights, RTTs, protocols (TCP and UDP), under the scenarios of different bandwidth provisioning and multiple congested gateways, all of which we consider the basic requirements for a practical solution. 2.Apart from ''per-flow'' and completely ''core-stateless'', SCALE represents a third management level - the label-based flow ''aggregation'' level. It reduces the information redundancy in the ''per-flow'' and surpasses the performance of the ''core-stateless''. This is important to Diffserv networks where we try to avoid the non-scalability of per-flow management while keeping its good Quality of Services. In this paper, we show that SCALE-WFS is effective and scalable, robust and extensible.