Publication detail

Analytical model for software defined network considering memory node for routing rules

MOKROV, E. POLUEKTOV, D. MACHNEV, E. SHORGIN, S. KHAKIMOV, A. HOŠEK, J.

Original Title

Analytical model for software defined network considering memory node for routing rules

Type

conference paper

Language

English

Original Abstract

In this work a software defined network (SDN) is studied as a queueing network. The main point of the system is that the switch memory node, storing routing rules is modeled separately. The memory node impacts the distribution of the newly arrived packets among the other nodes. In this work we propose analytical and simulation model to analyze the performance of the considered network. Analytical model covers a simplified network case with one flow type, while simulation model let us analyze a general-case of SDN network segment with multiple flow types.

Keywords

Analytical model; OpenFlow; Queueing model; SDN controller; Simulation; Software-defined networking

Authors

MOKROV, E.; POLUEKTOV, D.; MACHNEV, E.; SHORGIN, S.; KHAKIMOV, A.; HOŠEK, J.

Released

30. 12. 2020

Publisher

Springer

Location

Švýcarsko

ISBN

9783030657253

Book

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics

Pages from

39

Pages to

55

Pages count

17

URL

https://link.springer.com/content/pdf/10.1007/978-3-030-65729-1.pdf

BibTex

@inproceedings{BUT177426,
  author="Evgeny {Mokrov} and Dmitry {Poluektov} and Egon {Machnev} and Sergei {Shorgin} and Abdukodir {Khakimov} and Jiří {Hošek}",
  title="Analytical model for software defined network considering memory node for routing rules",
  booktitle="Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics",
  year="2020",
  pages="39--55",
  publisher="Springer",
  address="Švýcarsko",
  doi="10.1007/978-3-030-65729-1\{_}4",
  isbn="9783030657253",
  url="https://link.springer.com/content/pdf/10.1007/978-3-030-65729-1.pdf"
}