Supervised Learning of Neural Networks for Active Queue Management in the Internet

Supervised Learning of Neural Networks for Active Queue Management in the Internet

The paper examines the AQM mechanism based on neural networks. The active queue management allows packets to be dropped from the router’s queue before the buffer is full. The aim of the work is to use machine learning to create a model that copies the behavior of the AQM <inline-formula><ma...

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Bibliographic Details
Main Authors: Jakub Szyguła, Adam Domański, Joanna Domańska, Dariusz Marek, Katarzyna Filus, Szymon Mendla
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Sensors
Subjects:
neural networks
Hurst exponent
self-similarity
internet traffic
congestion control
dropping packets
Online Access:https://www.mdpi.com/1424-8220/21/15/4979

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https://www.mdpi.com/1424-8220/21/15/4979

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