Elephant Flow Detection With Random Forest Models Under Programmable Network Dataplane Constraints

Elephant Flow Detection With Random Forest Models Under Programmable Network Dataplane Constraints

This paper investigates the application of tree-based machine learning classifiers for flow-based traffic engineering, focusing on the binary classification of IP network flows into mice (short flows) and elephants (long flows) using 5-tuple header fields from the first packet. Unlike prior studies...

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Bibliographic Details
Main Authors: Piotr Jurkiewicz, Bartosz Kadziolka, Miroslaw Kantor, Robert Wojcik, Jerzy Domzal
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Flows
elephant
classification
traffic engineering
machine learning
QoS
Online Access:https://ieeexplore.ieee.org/document/10731663/

Internet

https://ieeexplore.ieee.org/document/10731663/

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