A methodology for reproducible and portable experiment workflows

Testbeds allow the creation of research prototypes to test new ideas through practical experiments. This central role in validating ideas makes them irreplaceable tools for data-driven research in computer science. Various testbeds were created to provide testbeds for the scientific community. To simplify testbed usage, frameworks help to authenticate users, allocate resources, and run experiments. Each testbed typically implements its own framework using a specific API to realize experiments. Such an experiment design impedes the portability of experiments between different testbeds. In this paper, we present a solution where we port the pos experiment controller to the Chameleon and CloudLab testbed. The well-structured pos experiment workflow allows the creation of inherently reproducible experiments. Previously, the experiments using the pos workflow were only possible in dedicated testbeds. By introducing the portability feature, these experiments can run on Chameleon and CloudLab. We demonstrate that experiments can be executed on any of the mentioned platforms without changing the experiment definition. Based on these results, we discuss how the portability feature will be used in the upcoming SLICES-RI testbeds to create reproducible and easily-shareable experiments.

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Publication Details

Journal
Computer Communications
Published
2025-04-29
DOI
https://doi.org/10.1016/j.comcom.2025.108178
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00

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article

A methodology for reproducible and portable experiment workflows

Henning Stubbe, Sebastian Gallenmüller, Georg Carle
Computer Communications
Scientific Computing and Data Management
article

A methodology for reproducible and portable experiment workflows

Henning Stubbe, Sebastian Gallenmüller, Georg Carle
article en

Abstract

Testbeds allow the creation of research prototypes to test new ideas through practical experiments. This central role in validating ideas makes them irreplaceable tools for data-driven research in computer science. Various testbeds were created to provide testbeds for the scientific community. To simplify testbed usage, frameworks help to authenticate users, allocate resources, and run experiments. Each testbed typically implements its own framework using a specific API to realize experiments. Such an experiment design impedes the portability of experiments between different testbeds. In this paper, we present a solution where we port the pos experiment controller to the Chameleon and CloudLab testbed. The well-structured pos experiment workflow allows the creation of inherently reproducible experiments. Previously, the experiments using the pos workflow were only possible in dedicated testbeds. By introducing the portability feature, these experiments can run on Chameleon and CloudLab. We demonstrate that experiments can be executed on any of the mentioned platforms without changing the experiment definition. Based on these results, we discuss how the portability feature will be used in the upcoming SLICES-RI testbeds to create reproducible and easily-shareable experiments.

Computer CommunicationsVol. 239
Technical University of Munich (DE)
National Science Foundation, Deutsche Forschungsgemeinschaft, Bundesministerium für Bildung und Forschung, Horizon 2020 Framework Programme, H2020 Research Infrastructures, HORIZON EUROPE Research Infrastructures
Openalex Percentile: Top 91%
Scientific Computing and Data Management
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A methodology for reproducible and portable experiment workflows — Henning Stubbe, Sebastian Gallenmüller, et al. · Computer Communications (2025) | TGRS Research Map | TGRS