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May 8 – 12, 2023
Norfolk Waterside Marriott
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INFN and the evolution of distributed scientific computing in Italy

May 8, 2023, 11:15 AM
Marriott Ballroom VII (Norfolk Waterside Marriott)

Marriott Ballroom VII

Norfolk Waterside Marriott

235 East Main Street Norfolk, VA 23510


Fanzago, Federica


INFN has been running for more than 20 years a distributed infrastructure (the Tier-1 at Bologna-CNAF and 9 Tier-2 centers) which currently offers about 140000 CPU cores, 120 PB of enterprise-level disk space and 100 PB of tape 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 centers will be federated via the INFN Cloud middleware and integrated with key HPC centers, 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 vendor-neutral, open, scalable and flexible "data lake" able to serve much more than just INFN users and experiments.

Consider for long presentation No

Primary authors

Prof. Salomoni, Davide (INFN-CNAF) Ahmad, Alkhansa (INFN CNAF) Antonacci, Marica (INFN Bari) Carbone, Luca Giovanni (INFN Milano Bicocca) Cesini, Daniele (Istituto Nazionale di Fisica Nucleare - CNAF) Ciangottini, Diego (INFN Perugia) Mr Ciaschini, Vincenzo (INFN - CNAF) Costantini, Alessandro (INFN CNAF) Donvito, Giacinto (INFN Bari) Duma, Doina Cristina (INFN CNAF) Fanzago, Federica Foggetti, Nadina (INFN Bari) Dr Giorgio, Emidio Maria (INFN-LNS) Italiano, Alessandro (INFN Bari) Martelli, Barbara (INFN CNAF) Mr Michelotto, Diego (INFN -CNAF) Peco, Gianluca (INFN Bologna) Dr Pellegrino, Carmelo (INFN-CNAF) Sgaravatto, Massimo (INFN Padova) Sinisi, Francesco (INFN-CNAF) spiga, daniele (INFN) Spinoso, Vincenzo (INFN Bari) Dr Stalio, Stefano (INFN-LGS) Strizzolo, Lucio (INFN Trieste) Traldi, Sergio (INFN Padova) Verlato, Marco (INFN) Vianello, Enrico (INFN CNAF)

Presentation materials

Peer reviewing