Detail publikace

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

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

Originální název

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

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

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

Autoři

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

Vydáno

30. 12. 2020

Nakladatel

Springer

Místo

Švýcarsko

ISBN

9783030657253

Kniha

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

Strany od

39

Strany do

55

Strany počet

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"
}