Publication detail

Proposed Method for Partial Node Replacement by Software Defined Network

YOUSSEF, S. RYŠAVÝ, O.

Original Title

Proposed Method for Partial Node Replacement by Software Defined Network

Type

article in a collection out of WoS and Scopus

Language

English

Original Abstract

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.

Keywords

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

Authors

YOUSSEF, S.; RYŠAVÝ, O.

Released

7. 9. 2020

Publisher

Polish Information Processing Society

Location

Warsaw

ISBN

978-83-959183-0-8

Book

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

Edition

Annals of Computer Science and Information Systems

ISBN

2300-5963

Year of study

22

Number

9

Pages from

11

Pages to

14

Pages count

4

URL

https://annals-csis.org/Volume_22/drp/207.html

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"
}