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Extended edge use case characterization

<p>As part of our work [1], we performed an extended analysis of edge application use cases with the aim of extracting generic workload classes from them. This dataset shows the data that came out of the analysis.</p> <p>[1] K. Tocz&eacute;, N. Schmitt, U. Karg&eacute;n, A. Aral, and I. Brandic, <strong>Edge Workload Trace Gathering and Analysis for Benchmarking</strong>, in <em>6th IEEE International Conference on Fog and Edge Computing 2022 (ICFEC 2022)</em>, IEEE, 2022. DOI: <a href="https://doi.org/10.1109/ICFEC54809.2022.00012">10.1109/ICFEC54809.2022.00012</a></p>

ShareScore

24/100

Overall dataset sharing score

Score breakdown

These five areas show where the dataset supports — or may limit — practical reuse.

Stewardship
4
Harmonization
4
Access
16
Reuse readiness
0
Engagement
0