The dagstuhl beginners guide to reproducibility for experimental networking research

Vaibhav Bajpai, Wolfgang Kellerer, Georgios Smaragdakis, Anna Brunstrom, Aiko Pras, Matthias Wählisch, Anja Feldmann, Henning Schulzrinne, Klaus Wehrle

Research output: Contribution to journalArticleAcademic

2 Citations (Scopus)
10 Downloads (Pure)

Abstract

Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.

Original languageEnglish
Pages (from-to)24-30
Number of pages7
JournalComputer communication review
Volume49
Issue number1
DOIs
Publication statusPublished - 1 Jan 2019

Fingerprint

Internet
Experiments

Keywords

  • Experimental networking research
  • Guidance
  • Internet measurements
  • Reproducibility

Cite this

Bajpai, V., Kellerer, W., Smaragdakis, G., Brunstrom, A., Pras, A., Wählisch, M., ... Wehrle, K. (2019). The dagstuhl beginners guide to reproducibility for experimental networking research. Computer communication review, 49(1), 24-30. https://doi.org/10.1145/3314212.3314217
Bajpai, Vaibhav ; Kellerer, Wolfgang ; Smaragdakis, Georgios ; Brunstrom, Anna ; Pras, Aiko ; Wählisch, Matthias ; Feldmann, Anja ; Schulzrinne, Henning ; Wehrle, Klaus. / The dagstuhl beginners guide to reproducibility for experimental networking research. In: Computer communication review. 2019 ; Vol. 49, No. 1. pp. 24-30.
@article{b2700eacda32441a80599e994d1ffe22,
title = "The dagstuhl beginners guide to reproducibility for experimental networking research",
abstract = "Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.",
keywords = "Experimental networking research, Guidance, Internet measurements, Reproducibility",
author = "Vaibhav Bajpai and Wolfgang Kellerer and Georgios Smaragdakis and Anna Brunstrom and Aiko Pras and Matthias W{\"a}hlisch and Anja Feldmann and Henning Schulzrinne and Klaus Wehrle",
year = "2019",
month = "1",
day = "1",
doi = "10.1145/3314212.3314217",
language = "English",
volume = "49",
pages = "24--30",
journal = "Computer communication review",
issn = "0146-4833",
publisher = "Association for Computing Machinery (ACM)",
number = "1",

}

Bajpai, V, Kellerer, W, Smaragdakis, G, Brunstrom, A, Pras, A, Wählisch, M, Feldmann, A, Schulzrinne, H & Wehrle, K 2019, 'The dagstuhl beginners guide to reproducibility for experimental networking research' Computer communication review, vol. 49, no. 1, pp. 24-30. https://doi.org/10.1145/3314212.3314217

The dagstuhl beginners guide to reproducibility for experimental networking research. / Bajpai, Vaibhav; Kellerer, Wolfgang; Smaragdakis, Georgios; Brunstrom, Anna; Pras, Aiko; Wählisch, Matthias; Feldmann, Anja; Schulzrinne, Henning; Wehrle, Klaus.

In: Computer communication review, Vol. 49, No. 1, 01.01.2019, p. 24-30.

Research output: Contribution to journalArticleAcademic

TY - JOUR

T1 - The dagstuhl beginners guide to reproducibility for experimental networking research

AU - Bajpai, Vaibhav

AU - Kellerer, Wolfgang

AU - Smaragdakis, Georgios

AU - Brunstrom, Anna

AU - Pras, Aiko

AU - Wählisch, Matthias

AU - Feldmann, Anja

AU - Schulzrinne, Henning

AU - Wehrle, Klaus

PY - 2019/1/1

Y1 - 2019/1/1

N2 - Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.

AB - Reproducibility is one of the key characteristics of good science, but hard to achieve for experimental disciplines like Internet measurements and networked systems. This guide provides advice to researchers, particularly those new to the field, on designing experiments so that their work is more likely to be reproducible and to serve as a foundation for follow-on work by others.

KW - Experimental networking research

KW - Guidance

KW - Internet measurements

KW - Reproducibility

UR - http://www.scopus.com/inward/record.url?scp=85062355966&partnerID=8YFLogxK

U2 - 10.1145/3314212.3314217

DO - 10.1145/3314212.3314217

M3 - Article

VL - 49

SP - 24

EP - 30

JO - Computer communication review

JF - Computer communication review

SN - 0146-4833

IS - 1

ER -