Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
A qualitative way of solving the pole balancing problem
Machine intelligence 12
Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
End-to-end arguments in system design
ACM Transactions on Computer Systems (TOCS)
Self-Organizing Maps
Variability in TCP round-trip times
Proceedings of the 3rd ACM SIGCOMM conference on Internet measurement
Linear stability of TCP/RED and a scalable control
Computer Networks: The International Journal of Computer and Telecommunications Networking
Nonlinear instabilities in TCP-RED
IEEE/ACM Transactions on Networking (TON)
Reduction of queue oscillation in the next generation Internet routers
Computer Communications
Reducing Queue Oscillation at a Congested Link
IEEE Transactions on Parallel and Distributed Systems
IEEE Network: The Magazine of Global Internetworking
A robust active queue management scheme for network congestion control
Computers and Electrical Engineering
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The behaviour of the TCP AIMD algorithm is known to cause queue length oscillations when congestion occurs at a router output link. Indeed, due to these queueing variations, end-to-end applications experience large delay jitter. Many studies have proposed efficient active queue management (AQM) mechanisms in order to reduce queue oscillations and stabilize the queue length. These AQM attempt to improve the random early detection (RED) model. Unfortunately, these enhancements do not react in a similar manner for various network conditions and are strongly sensitive to their initial setting parameters. Although this paper proposes a solution to overcome the difficulties of configuring the RED parameters by using a Kohonen neural network model; another goal of this study is to investigate whether cognitive intelligence could be placed in the core network to solve such stability problem. In our context, we use results from the neural network area to demonstrate that our proposal, named Kohonen-RED (KRED), enables a stable queue length without complex parameters setting or passive measurements to obtain a correct configuration.