| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01041 | |
| Number of page(s) | 6 | |
| DOI | https://doi.org/10.1051/epjconf/202533701041 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701041
Turning CephFS into a collaborative space with CERNBox
CERN - European Organization for Nuclear Research, 1211 Geneva, CH
* e-mail: giuseppe.lopresti@cern.ch
Published online: 7 October 2025
CERNBox is an innovative scientific collaboration platform, built using solely open-source components to meet the unique requirements of scientific workflows. Used at CERN for the last decade, the service satisfies the 35K users at CERN and seamlessly integrates with batch farms and Jupyter-based services. Powered by Reva, an open-source HTTP and gRPC server written in Go, CERNBox has demonstrated the provision of sync&share capabilities on top of multiple storage systems such as EOS and CephFS, as well as enabling federated sharing with other institutions.
In this contribution, we present the evolution of CERNBox towards supporting the low-latency Windows applications use-cases at CERN. As we are migrating out of DFS, the legacy Windows storage provided by Microsoft, and commissioning Windows Workspaces powered by CephFS, we show how CERNBox provides a flexible software stack to seamlessly integrate the Windows-based community, which includes the Engineering sector of the Organization.
We conclude by emphasizing the multiple synergies enabled by this approach. On one hand, Windows-based data-centric workflows can leverage the multiprotocol accesses (sync, web, SMB) provided by CERNBox. On the other hand, the widespread adoption of CephFS within the scientific community positions CERNBox as an out-of-the-box solution for implementing a scalable collaborative cloud storage service.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.