The Dagstuhl Beginners Guide to Reproducibility for Experimental Networking Research

Research output: Contribution to journalResearch articleContributed


  • Vaibhav Bajpai - , Technical University of Munich (Author)
  • Wolfgang Kellerer - , Technical University of Munich (Author)
  • Georgios Smaragdakis - , Technical University of Berlin (Author)
  • Anna Brunstrom - , Karlstad University (Author)
  • Aiko Pras - , University of Twente (Author)
  • Matthias Wählisch - , Chair of Distributed and Networked Systems, Free University of Berlin (Author)
  • Anja Feldmann - , Max Planck Institute for Informatics (Author)
  • Henning Schulzrinne - , Columbia University (Author)
  • Klaus Wehrle - , RWTH Aachen University (Author)


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
JournalACM SIGCOMM computer communication review
Issue number1
Publication statusPublished - Jan 2019

External IDs

ORCID /0000-0002-3825-2807/work/142241904


Research priority areas of TU Dresden

DFG Classification of Subject Areas according to Review Boards

Subject groups, research areas, subject areas according to Destatis


  • Experimental networking research, Guidance, Internet measurements, Reproducibility, Reproducibility, Reproducible research