Open Access
Issue
EPJ Web Conf.
Volume 214, 2019
23rd International Conference on Computing in High Energy and Nuclear Physics (CHEP 2018)
Article Number 03001
Number of page(s) 8
Section T3 - Distributed computing
DOI https://doi.org/10.1051/epjconf/201921403001
Published online 17 September 2019
  1. S. Vercellone for the CTA Consortium, “The next generation Cherenkov Telescope Array observatory: CTA”, Nucl. Instrum. Meth. A 766 (2014) doi: 10.1016/j.nima.2014.04.015 [Google Scholar]
  2. https://www.skatelescope.org/ [Google Scholar]
  3. D. Salomoni etal, “INDIGO-DataCloud: a Platform to Facilitate Seamless Access to E-Infrastructures”, J. of Grid Computin g 16 (2018) doi: 10.1007/s10723-018-9453-3 [Google Scholar]
  4. M. Gasthuber etal, “HNSciCloud – Overview and technical Challenges” J. Phys.: Conf. Ser. 898, 052040 (2017) doi: 10.1088/1742-6596/898/5/052040 [CrossRef] [Google Scholar]
  5. https://eoscpilot.eu/media/publications [Google Scholar]
  6. https://www.eosc-hub.eu/publications [Google Scholar]
  7. D. Cesini etal,, “The eXtreme-DataCloud project: data management services for the next generation distributed e-infrastructures”, Proceedings of Conference Grid, Cloud & High Performance Computing in Science (ROLCG), 1–4 (2018) doi: 10.1109/ROLCG.2018.8572025 [Google Scholar]
  8. https://deep-hybrid-datacloud.eu/ [Google Scholar]
  9. G. Andronico etal,, “High Performance Scientific Computing Using Distributed Infrastructures” (World Scientific, 2017) , doi: 10.1142/9972 [CrossRef] [Google Scholar]
  10. L. dell’Agnello et al, “INFN-Tier1: a distributed site” , Proceedings of CHEP 2018 , to be published [Google Scholar]
  11. T. Boccali etal, “Extending the farm on external sites: the INFN Tier-1 experience”, J. Phys.: Conf. Ser . 898, 082018 (2017) doi: 10.1088/1742-6596/898/8/082018 [CrossRef] [Google Scholar]
  12. L. A. T. Bauerdick et al, “XRootd, disk-based, caching proxy for optimization of data access, data placement and data replication”, J. Phys.: Conf. Ser. 513, 042044 (2014) doi: 10.1088/1742-6596/513/4/042044 [CrossRef] [Google Scholar]
  13. D. Spiga etal,, “DODAS: How to effectively exploit heterogeneous clouds for scientific computations” , PoS ISGC 2018 & FCDD, 024 (2018) doi: 10.22323/1.327.0024 [Google Scholar]
  14. https://www.ecmwf.int/en/about/media-centre/news/2017/ecmwfs-new-data-centre-be-located-bologna-italy-2019 [Google Scholar]

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