Abstract

The INFN Tier-1 center at CNAF has been extended in 2016 and 2017 in order to include a small amount of resources (∼ 22 kHS06 corresponding to ∼ 10% of the CNAF pledges for LHC in 2017) physically located at the Bari-ReCas site (∼ 600 km distant from CNAF). In 2018, a significant fraction of the CPU power (∼ 170 kHS06, equivalent to ∼ 50% of the total CNAF pledges) is going to be provided via a collaboration with the PRACE Tier-0 CINECA center (a few km from CNAF), thus building a truly geographically distributed (WAN) center. The two sites are going to be interconnected via an high bandwidth link (400-1200 Gb/s), in order to ensure a transparent access to data residing on CNAF storage; the latency between the centers is small enough not to require particular caching strategies. In this contribution we describe the issues and the results of the production configuration, focusing both on the management aspects and on the performance provided to end-users.

Highlights

  • The Institute for Nuclear Physics (INFN) Tier-1 center at CNAF has been extended in 2016 and 2017 in order to include a small amount of resources (∼ 22 kHS06 corresponding to ∼ 10% of the CNAF pledges for Large Hadron Collider (LHC) in 2017) physically located at the Bari-ReCas site (∼ 600 km distant from CNAF)

  • In addition to contingent economic savings with the long-term lease of CPU resources available at other sites, we wanted to evaluate new operational models and look for a solution to overcome the infrastructural limits of the current data center location, especially in view of the foreseen increase of resources needed for HL-LHC

  • The increasing demand of computing resources led to the investigation of several techniques to extend the existing farm of INFN Tier-1

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Summary

Introduction

The INFN is composed of more than 20 divisions dislocated at the main Italian University Physics Departments, four Laboratories and three National Centers dedicated to specific tasks (Fig. 1). CNAF is the National Center of the INFN “for the Research and Development in Information and Communication Technologies”: it participated as a primary contributor in the development of Grid middleware and in the initial setup and maintenance of the Italian Grid infrastructure. The needed resources for the experiments in 2018 amount to 330 kHS06 for the computing farm, ∼ 34 PB of disk and ∼ 93 PB of tapes

INFN Tier-1 beyond CNAF data center
Opportunistic computing on commercial clouds
Farm extension on HNSciCloud resources
Farm extension to Bari-ReCaS
Farm extension to CINECA
Conclusions

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