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Managing network congestion with a Kohonen-based RED queue

Lochin, Emmanuel and Talavera, Bruno Managing network congestion with a Kohonen-based RED queue. (2008) In: IEEE International Conference on Communications - IEEE ICC 2008, 19- 23 May 2008, Beijing, China .

(Document in English)

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Official URL: http://dx.doi.org/10.1109/ICC.2008.1047


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 are mostly improvements of 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 setting these 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 and passive measurements.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Thanks to the Institute of Electrical and Electronics Engineers (IEEE). The definitive version is available at the IEEE website: http://ieeexplore.ieee.org/. The original PDF of the article can be found at http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4534083
Audience (conference):International conference proceedings
Uncontrolled Keywords:
Institution:Université de Toulouse > Institut Supérieur de l'Aéronautique et de l'Espace - ISAE-SUPAERO (FRANCE)
Other partners > Université Pierre et Marie Curie, Paris 6 - UPMC (FRANCE)
Laboratory name:
Deposited On:07 Apr 2008 14:34

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