Mabrouk, Ziyad, Dyshlevyy, Bohdan, Saucez, Damien, Hadjidemetriou, Panagiotis and Andreou, Panayiotis
ORCID: 0000-0002-6369-1094
(2026)
A Data Management Infrastructure for Reproducible Experimental Research.
2026 29th Conference on Innovation in Clouds, Internet and Networks (ICIN)
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ISSN 2162-3414
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Official URL: https://doi.org/10.1109/ICIN69025.2026.11481800
Abstract
Cloud, Internet, and network infrastructures are now tightly integrated, making experimental research increasingly dependent on advanced technical expertise and real-system deployments. As a result, purely theoretical evaluations are often insufficient to capture real-world behavior. This shift has driven the rise of data-driven research, where hypotheses are validated using high-quality experimental data. However, such data are frequently retained by their producers, limiting reproducibility and reuse. The EU SLICES-RI project addresses this challenge by providing a scientific platform that supports reproducible, large-scale experiments on state-of-the-art hardware and software and enables the systematic sharing of experimental data and metadata across the research community. This demo presents the SLICES-RI Data Management Infrastructure and its Metadata Registry System, demonstrating how lightweight tools can be used to efficiently publish and share experimental results. This Metadata Registry System has already been adopted by other European projects, such as Converge, 6GXCEL, and 6G-Sunrise.
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