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INFN and the evolution of distributed scientific computing in Italy

Authors :
Salomoni Davide
Alkhansa Ahmad
Antonacci Marica
Belluomo Patrizia
Biasotto Massimo
Carbone Luca Giovanni
Cesini Daniele
Ciangottini Diego
Ciaschini Vincenzo
Costantini Alessandro
Doria Alessandra
Donvito Giacinto
Duma Doina Cristina
Fanzago Federica
Foggetti Nadina
Fornari Federico
Giorgio Emidio Maria
Italiano Alessandro
Malatesta Giada
Martelli Barbara
Michelotto Diego
Morganti Lucia
Gasparetto Jacopo
Peco Gianluca
Pellegrino Carmelo
Rendina Andrea
Sgaravatto Massimo
Sinisi Francesco
Spiga Daniele
Spinoso Vincenzo
Spisso Bernardino
Stalio Stefano
Strizzolo Lucio
Traldi Sergio
Verlato Marco
Vianello Enrico
Source :
EPJ Web of Conferences, Vol 295, p 10004 (2024)
Publication Year :
2024
Publisher :
EDP Sciences, 2024.

Abstract

INFN has been running a distributed infrastructure (the Tier-1 at Bologna-CNAF and 9 Tier-2 centres) for more than 20 years which currently offers about 150000 CPU cores and 120 PB of space both in tape and disk storage, serving more than 40 international scientific collaborations. This Grid-based infrastructure was augmented in 2019 with the INFN Cloud: a production quality multi-site federated Cloud infrastructure, composed by a core backbone, and which is able to integrate other INFN sites and public or private Clouds as well. The INFN Cloud provides a customizable and extensible portfolio offering computing and storage services spanning the IaaS, PaaS and SaaS layers, with dedicated solutions to serve special purposes, such as ISO-certified regions for the handling of sensitive data. INFN is now revising and expanding its infrastructure to tackle the challenges expected in the next 10 years of scientific computing adopting a “cloud-first” approach, through which all the INFN data centres will be federated via the INFN Cloud middleware and integrated with key HPC centres, such as the pre-exascale Leonardo machine at CINECA. In such a process, which involves both the infrastructures and the higher level services, initiatives and projects such as the "Italian National Centre on HPC, Big Data and Quantum Computing" (funded in the context of the Italian "National Recovery and Resilience Plan") and the Bologna Technopole are precious opportunities that will be exploited to offer advanced resources and services to universities, research institutions and industry. In this paper we describe how INFN is evolving its computing infrastructure, with the ambition to create and operate a national vendorneutral, open, scalable, and flexible "datalake" able to serve much more than just INFN users and experiments.

Subjects

Subjects :
Physics
QC1-999

Details

Language :
English
ISSN :
2100014X
Volume :
295
Database :
Directory of Open Access Journals
Journal :
EPJ Web of Conferences
Publication Type :
Academic Journal
Accession number :
edsdoj.fded6c24e51e4543847e2f9111cc3d07
Document Type :
article
Full Text :
https://doi.org/10.1051/epjconf/202429510004