Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
TCP Vegas: new techniques for congestion detection and avoidance
SIGCOMM '94 Proceedings of the conference on Communications architectures, protocols and applications
Modeling TCP throughput: a simple model and its empirical validation
Proceedings of the ACM SIGCOMM '98 conference on Applications, technologies, architectures, and protocols for computer communication
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
Fixed point approximations for TCP behavior in an AQM network
Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Improving fairness in a WRED-based DiffServ network: A fluid-flow approach
Performance Evaluation
QoS-IP'05 Proceedings of the Third international conference on Quality of Service in Multiservice IP Networks
An analytical framework to design a diffserv network supporting EF-, AF- and BE-PHBs
QoS-IP'05 Proceedings of the Third international conference on Quality of Service in Multiservice IP Networks
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Design methodologies for TCP/IP based networks is one of the most challenging topic in research on telecommunications networks. The main difficulty consists in modeling congestion control mechanisms because it involves feedback from the network. In this perspective, in this paper we develop an accurate analytical framework for networked TCP applications supporting both Slow Start and Congestion Avoidance algorithms. To this end we enhance the TCP fluid model introduced in the previous literature considering also TCP sources aimed at transmitting a prefixed quantity of data such as file transfer or network browsing. The proposed model addresses a network of routers supporting any Active Queue Management (AQM) techniques, provided that the equations describing the AQM rules implemented in the routers are introduced in the fluid framework. The proposed framework allows designers to study not only the steady-state behavior of the network, but also the transient behavior when a set of TCP sources start to transmit or finish transmitting. Moreover the model results provide the average values of the queue length in each router even when some of them are not bottleneck ones.