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National Institute for Nuclear Physics in Pisa assures data access with ETERNUS DX8700

"Our priority is to ensure continuous access to data for researchers. The Fujitsu solution gives us the flexibility we need, making future expansion easy."

Alberto Ciampa Head of GRID and Calculation and Networks Service National Institute for Nuclear Physics (INFN) Pisa section

INFN Pisa needed constant data availability. It expanded its storage infrastructure with Fujitsu ETERNUS DX8700 S3, guaranteeing outstanding performance.

The customer

INFN (National Institute for Nuclear Physics) is a public body that promotes and coordinates research into the fundamental constituents of matter and carries out theoretical and experimental activities in the fields of sub nuclear, nuclear and astroparticle physics. The Pisa section conducts research in close collaboration with various academic institutions in Italy, but mainly works with a number of international institutions equipped with particle accelerators, in particular CERN in Geneva. To analyze data, it has a computation model that is spread over several sites, providing its network of physicists with the computing and physical resources necessary for their work.

The challenge

In terms of computing power INFN Pisa runs the second largest installation of the entire network of INFN institutes in Italy. The role of Tier2 institutions in the CMS research project requires a huge amount of data storage capability – easily accessible to the scientific

The solution

Beside the ability to manage storage capacity flexibly, the institute is highly dependent on consistent performance to cope with the proliferating amount of data. FUJITSU Storage ETERNUS DX8700 S3 system was installed and integrated into the existing infrastructure.

The benefit

  • Scalability of capacity and controllers, to support flexible and unpredictable requirements
  • Installation and integration into existing infrastructure completed in a few days
  • Fully symmetrical architecture to guarantee performance

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Read the full INFN Pisa case study (952 KB/A4, 2 pages)