| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01298 | |
| Number of page(s) | 8 | |
| DOI | https://doi.org/10.1051/epjconf/202533701298 | |
| Published online | 07 October 2025 | |
https://doi.org/10.1051/epjconf/202533701298
A Cloud oriented platform to exploit ANSYS application
1 Istituto Nazionale di Fisica Nucleare, CNAF, Bologna, Italy
2 Istituto Ortopedico Rizzoli, Bologna, Italy
3 University of Bologna, Italy
* e-mail: lmagenta@infn.it
** e-mail: bmartelli@infn.it
*** e-mail: acostantini@infn.it
Published online: 7 October 2025
Cloud computing technologies are becoming increasingly important to provide a variety of services able to serve different communities needs. This is the case of the DigitAl Lifelong pRevEntion (DARE) project that aims to develop prevention and digital health in Italy through the complete valorization of the health data chain. Within DARE, the Italian National Institute for Nuclear Physics (INFN) is leading the technology scouting and integration.
The current study outlines the activities focused on employing ANSYS software, transitioning from a local batch solution to a cloud-based environment. As a result, we move from a classical approach to a micreoservcie-based architecture adopting solutions made available within INFN Cloud, the private and federated Cloud infrastructure of INFN. Consolidated technologies like Kubernetes has been adopted and integrated with Nextflow, a workflow manager, to improve the interoperability of the presented solution.
The objective is to identify benefits and explore potential enhancements through the use of a cloud-based approach. Additionally, due to the handling of patient information being subject to General Data Protection Regulation (GDPR), the activity has been designed to run on the Enhanced PrIvacy and Compliance Cloud (EPIC), the infrastructure available within INFN where the Information Security Management System (ISMS) is applied.
© 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.