Publication result detail

Quality Control Methodology for Simulation Models of Computer Network Protocols

VESELÝ, V.; ZAVŘEL, J.

Original Title

Quality Control Methodology for Simulation Models of Computer Network Protocols

English Title

Quality Control Methodology for Simulation Models of Computer Network Protocols

Type

Paper in proceedings outside WoS and Scopus

Original Abstract

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.

English abstract

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.

Keywords

network protocols, INET, OMNeT++

Key words in English

network protocols, INET, OMNeT++

Authors

VESELÝ, V.; ZAVŘEL, J.

RIV year

2022

Released

08.09.2021

Publisher

Cornell University Library

Location

Ithaca, NY

Book

Proceedings of 8th Virutal OMNeT++ Community Summit

ISBN

2331-8422

Periodical

ArXiv.org

Number

9

State

United States of America

Pages from

1

Pages to

19

Pages count

19

URL

http://arxiv.org/abs/2109.12854

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",
  journal="ArXiv.org",
  number="9",
  pages="1--19",
  publisher="Cornell University Library",
  address="Ithaca, NY",
  url="http://arxiv.org/abs/2109.12854"
}

Documents

OMNeT___Community_Summit_2021___Paper