Toward migration to SDN: Generating SDN Forwarding Rules by Decision Tree
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F23%3APU151444" target="_blank" >RIV/00216305:26230/23:PU151444 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/10073500" target="_blank" >https://ieeexplore.ieee.org/document/10073500</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICIN56760.2023.10073500" target="_blank" >10.1109/ICIN56760.2023.10073500</a>
Alternative languages
Result language
angličtina
Original language name
Toward migration to SDN: Generating SDN Forwarding Rules by Decision Tree
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)
ISBN
979-8-3503-9804-5
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
16-20
Publisher name
IEEE Computer Society
Place of publication
Paris
Event location
Paris
Event date
Mar 6, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
001006975300004