A Cloud oriented platform to exploit ANSYS application
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.
Authors
- Barbara Martelli (ORCID: https://orcid.org/0000-0002-6179-9325)
- Antonino A. La Mattina (ORCID: https://orcid.org/0000-0002-9927-2393)
- Alessandro Costantini (ORCID: https://orcid.org/0000-0002-7066-3307)
- Cristina Curreli (ORCID: https://orcid.org/0000-0002-9904-3849)
- Jacopo Gasparetto
- Giusy Sergi
- Francesco Sinisi
- Letizia Magenta
- Enrico Toccaceli
Institutions
- Istituto Nazionale di Fisica Nucleare (IT)
- Istituto Ortopedico Rizzoli (IT)
- University of Bologna (IT)
Publication Details
- Journal
- EPJ Web of Conferences
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1051/epjconf/202533701298
- Primary Topic
- Software System Performance and Reliability
- Type
- article
- Field-Weighted Citation Impact
- 0.00