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 and explicit congestion notification
ACM SIGCOMM Computer Communication Review
A mean-field model for multiple TCP connections through a buffer implementing RED
Performance Evaluation
Dynamics of random early detection gateway under a large number of tcp flows
Dynamics of random early detection gateway under a large number of tcp flows
TCP Vegas: end to end congestion avoidance on a global Internet
IEEE Journal on Selected Areas in Communications
On the behavior of ECN/RED gateways under a large number of TCP flows: Limit theorems
Queueing Systems: Theory and Applications
Asymptotic behavior of heterogeneous TCP flows and RED gateway
IEEE/ACM Transactions on Networking (TON)
Local and global stability of TCP-newReno/RED with many flows
Computer Communications
Performance analysis of TCP/AQM with generalized AIMD under intermediate buffer sizes
Computer Networks: The International Journal of Computer and Telecommunications Networking
Achieving 100% throughput in TCP/AQM under aggressive packet marking with small buffer
IEEE/ACM Transactions on Networking (TON)
Technical Communique: Stability of a rate control system with averaged feedback and network delay
Automatica (Journal of IFAC)
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
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We develop a framework for studying the interaction of a probabilistic active queue management (AQM) algorithm with a generic end-user congestion-control mechanism. We show that as the number of flows in the network increases, the queue dynamics can be accurately approximated by a simple deterministic process. In addition, we investigate the sources of queue fluctuations in this setup. We characterize two distinct sources of queue fluctuations; one is the deterministic oscillations which can be captured through the aforementioned deterministic process. The other source is the random fluctuations introduced by the probabilistic nature of the marking schemes. We discuss the relationship between these two types of fluctuations and provide insights into how to control them. Concrete examples in this framework are given for several popular algorithms such as Random Early Detection, Random Early Marking and Transmission Control Protocol.