Detail publikačního výsledku

Quality Control Methodology for Simulation Models of Computer Network Protocols

VESELÝ, V.; ZAVŘEL, J.

Originální název

Quality Control Methodology for Simulation Models of Computer Network Protocols

Anglický název

Quality Control Methodology for Simulation Models of Computer Network Protocols

Druh

Stať ve sborníku mimo WoS a Scopus

Originální abstrakt

This paper summarizes know-how about modeling and simulation of computer networking protocols we contributed to the OMNeT++ community. We propose a methodology
aiming to set a reliable ground truth for the quality of simulation models of networking
protocols. We demonstrate the application of this methodology on our EIGRP source code
pull-requested to the INET framework.

Anglický abstrakt

This paper summarizes know-how about modeling and simulation of computer networking protocols we contributed to the OMNeT++ community. We propose a methodology
aiming to set a reliable ground truth for the quality of simulation models of networking
protocols. We demonstrate the application of this methodology on our EIGRP source code
pull-requested to the INET framework.

Klíčová slova

network protocols, INET, OMNeT++

Klíčová slova v angličtině

network protocols, INET, OMNeT++

Autoři

VESELÝ, V.; ZAVŘEL, J.

Rok RIV

2022

Vydáno

08.09.2021

Nakladatel

Cornell University Library

Místo

Ithaca, NY

Kniha

Proceedings of 8th Virutal OMNeT++ Community Summit

ISSN

2331-8422

Číslo

9

Strany od

1

Strany do

19

Strany počet

19

URL

http://arxiv.org/abs/2109.12854

Plný text v Digitální knihovně

http://hdl.handle.net/

BibTex

@inproceedings{BUT175830,
  author="Vladimír {Veselý} and Jan {Zavřel}",
  title="Quality Control Methodology for Simulation Models of Computer Network Protocols",
  booktitle="Proceedings of 8th Virutal OMNeT++ Community Summit",
  year="2021",
  number="9",
  pages="1--19",
  publisher="Cornell University Library",
  address="Ithaca, NY",
  url="http://arxiv.org/abs/2109.12854"
}

Dokumenty

OMNeT___Community_Summit_2021___Paper