Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
A RED discard strategy for ATM networks and its performance evaluation with TCP/IP traffic
ACM SIGCOMM Computer Communication Review
The BLUE active queue management algorithms
IEEE/ACM Transactions on Networking (TON)
An adaptive virtual queue (AVQ) algorithm for active queue management
IEEE/ACM Transactions on Networking (TON)
Robustness of real and virtual queue-based active queue management schemes
IEEE/ACM Transactions on Networking (TON)
On the Evaluation of the Active Queue Management Mechanisms
INTERNET '09 Proceedings of the 2009 First International Conference on Evolving Internet
A robust active queue management algorithm in large delay networks
Computer Communications
An adaptive neuron AQM for a stable internet
NETWORKING'07 Proceedings of the 6th international IFIP-TC6 conference on Ad Hoc and sensor networks, wireless networks, next generation internet
A genetic algorithm for the design of a fuzzy controller for active queue management
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
IEEE Network: The Magazine of Global Internetworking
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Stable and predictable queue size is one of the main goals of the active queue management in Internet routers. A stable queue enables to maintain high throughput and low delay jitter and therefore has a positive impact on several Internet applications. It is not easy to design an AQM algorithm that would be able to maintain a stable queue size in every network conditions. For instance, it is known that large propagation delays have a negative impact on the queue size stability. In this paper, we demonstrate other factors that are likely to make the queue size unstable. Using the newest AQM testbed we show that, in addition to large delays, a low congestion level and low target queue size make stabilizing the queue size difficult and even the best known algorithms do not work well under these conditions.