Adaptive Configuration of a Queuing Policy on a Switch, Obtained via Machine Learning

The problem of traffic balancing is relevant in modern networks that have many alternative routes between any pair of subscribers. Balancing allows us to utilize network resources uniformly. In this work, we propose a way of adaptively tuning the queuing policy on a switch to achieve uniform queue u...

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Veröffentlicht in:	Moscow University computational mathematics and cybernetics 2024, Vol.48 (3), p.203-214
Hauptverfasser:	Timoshkin, M. O., Stepanov, E. P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Balancing Machine learning Mathematics Mathematics and Statistics Queueing Queues
Online-Zugang:	Volltext
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