Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
Explicit allocation of best-effort packet delivery service
IEEE/ACM Transactions on Networking (TON)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED
Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
Realizing Throughput Guarantees in a Differentiated Services Network
ICMCS '99 Proceedings of the IEEE International Conference on Multimedia Computing and Systems - Volume 2
ICNP '97 Proceedings of the 1997 International Conference on Network Protocols (ICNP '97)
A fluid-based model of time-limited TCP flows
Computer Networks: The International Journal of Computer and Telecommunications Networking
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The DiffServ architecture has been proposed as a scalable approach for upgrading the Internet, adding service differentiation functionalities. However, several aspects of this architecture still have to be analyzed and solved. For this reason, network designers need to be provided with tools which are able to estimate the average behavior of a DiffServ network with a high level of accuracy and in a short time. In this paper a fluid-flow model of a DiffServ network supporting Assured Forwarding Per-Hop Behavior (PHB) and loaded with TCP flows is proposed. At the edge of the network, two rate three color markers (TRTCM) are employed as profile meters, while within the network core routers implement a Weighted RED (WRED) buffer management mechanism. In order to demonstrate the high accuracy of the proposed model, a comparison between model and simulation results is performed, taking into account not just a bottleneck link, but a complex network topology. The proposed analytical framework is then used to analyze the impact of several factors on the fair sharing of network resources between traffic aggregates with the same traffic profile, and to achieve some guidelines for WRED parameter settings with the aim of reducing unfairness.