Publication Details

Toward migration to SDN: Generating SDN Forwarding Rules by Decision Tree

YOUSSEF, S.; RYŠAVÝ, O. Toward migration to SDN: Generating SDN Forwarding Rules by Decision Tree. In 26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN). Paris: IEEE Computer Society, 2023. p. 16-20. ISBN: 979-8-3503-9804-5.
Czech title
Migrace na SDN: Generování pravidel pro SDN z použitím rozhodovacího stromu
Type
conference paper
Language
English
Authors
Youssef Sawsan, Ing.
Ryšavý Ondřej, doc. Ing., Ph.D. (DIFS)
URL
Keywords

Decision tree, Software Defined Networks, Data Mining, Netflow, Flow Table, Rule Generation.

Abstract

The deployment of Software Defined Network (SDN) switches faces various challenges, one of them is to generate rules to be preloaded in the flow table for performance improvement. Since the flow tables in SDN are implemented by TCAM (ternary content-addressable memory), they have a limited capacity. On the other hand, prepopulating them with the most common rules will reduce the flow setup delay. This paper provides a method for the identification of the most suitable candidate rules by observing the existing traffic and automatic generation of OpenFlow rules that can fit in SDN tables. The rules are extracted from the decision tree build based on the observed NetFlow traffic. The experiments showed that this method can provide a compact set of rules matching most of the network traffic.

Published
2023
Pages
16–20
Proceedings
26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
ISBN
979-8-3503-9804-5
Publisher
IEEE Computer Society
Place
Paris
DOI
10.1109/ICIN56760.2023.10073500
UT WoS
001006975300004
EID Scopus
2-s2.0-85152089715
BibTeX 
@inproceedings{BUT188749,
  author="Sawsan {Youssef} and Ondřej {Ryšavý}",
  title="Toward migration to SDN: Generating SDN Forwarding Rules by Decision Tree",
  booktitle="26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)",
  year="2023",
  pages="16--20",
  publisher="IEEE Computer Society",
  address="Paris",
  doi="10.1109/ICIN56760.2023.10073500",
  isbn="979-8-3503-9804-5",
  url="https://ieeexplore.ieee.org/document/10073500"
}
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