A methodology for reproducible and portable experiment workflows
Year: 2025
Type: article
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.
Source: Computer Communications
Institution: Technical University of Munich
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
Estimated APC paid: $2,620
Awards: Verbundprojekt: Digitale Transformation und Souveränität künftiger Kommunikationsnetze - 6G-life -, Teilvorhaben: Grundlagen und Systemlösungen für Post Shannon Kommunikation, In-Network Computing, eingebettete Sicherheit und Resilienz, Verbundprojekt: 6G-Access, Network of Networks, Automation & Simplification - 6G-ANNA -, Greener Future Digital Research Infrastructures, G6589525889, G8443134298, G996416203
OpenAlex ID: W4409921994
