Detail publikace

Proposed Method for Partial Node Replacement by Software Defined Network

YOUSSEF, S. RYŠAVÝ, O.

Originální název

Proposed Method for Partial Node Replacement by Software Defined Network

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

Since it is impractical to replace the entire traditional network by the SDN network due to some constraints i.e. financial budget, limited skills to SDN, in addition to the need to have the benefits and flexibility of the traditional network, the partial replacement implemented by deploying or replacing some legacy nodes by the SDN switches have emerged. Such replacement requires routing and security addressing coordination issues. In this research, we present our proposed solution for automatic replacement of a segment of the legacy network by SDN nodes, and generation of a set of OpenFlow rules and switches configuration that meets the traditional network behavior requirements. The rules are identified based on the analysis of the network traffic acquired from the legacy segment.

Klíčová slova

Software Defined Networks, Data Mining, Hybrid SDN, node replacement

Autoři

YOUSSEF, S.; RYŠAVÝ, O.

Vydáno

7. 9. 2020

Nakladatel

Polish Information Processing Society

Místo

Warsaw

ISBN

978-83-959183-0-8

Kniha

Position Papers of the 2020 Federated Conference on Computer Science and Information Systems

Edice

Annals of Computer Science and Information Systems

ISSN

2300-5963

Ročník

22

Číslo

9

Strany od

11

Strany do

14

Strany počet

4

URL

BibTex

@inproceedings{BUT168479,
  author="Sawsan {Youssef} and Ondřej {Ryšavý}",
  title="Proposed Method for Partial Node Replacement by Software Defined Network",
  booktitle="Position Papers of the 2020 Federated Conference on Computer Science and Information Systems",
  year="2020",
  series="Annals of Computer Science and Information Systems",
  volume="22",
  number="9",
  pages="11--14",
  publisher="Polish Information Processing Society",
  address="Warsaw",
  doi="10.15439/2020F207",
  isbn="978-83-959183-0-8",
  issn="2300-5963",
  url="https://annals-csis.org/Volume_22/drp/207.html"
}