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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

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

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

26th Conference on Innovation in Clouds, Internet and Networks and Workshops (ICIN)

ISBN

979-8-3503-9804-5

ISSN

—

e-ISSN

—

Počet stran výsledku

5

Strana od-do

16-20

Název nakladatele

IEEE Computer Society

Místo vydání

Paris

Místo konání akce

Paris

Datum konání akce

6. 3. 2023

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

001006975300004