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Institut Laue – Langevin IT Priorities

Institut Laue – Langevin IT Priorities. Dec 2013. Who are we ?. ILL is an analytical facility The most intense continuous neutron flux 38 world class instruments 2000 invited scientists /year 480 Staff Location: EPN-Campus, Grenoble (France). An international scientific collaboration.

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Institut Laue – Langevin IT Priorities

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  1. Institut Laue – LangevinIT Priorities Dec 2013 Jean-François Perrin (ILL) - CERN Openlab IT challenges

  2. Who are we ? ILL is an analytical facility The most intense continuous neutron flux 38 world class instruments 2000 invited scientists /year 480 Staff Location: EPN-Campus, Grenoble (France) Jean-François Perrin (ILL) - CERN Openlab IT challenges

  3. An international scientificcollaboration • Founded in 1971 by France, Germany and United Kingdom. • Scientific partners that have joined in since then: Spain, Switzerland, Austria, Denmark, Italy, Czech Republic, Sweden, Hungary, Belgium, Slovakiaand India. Jean-François Perrin (ILL) - CERN Openlab IT challenges

  4. ScientificWorkflow Jean-François Perrin (ILL) - CERN Openlab IT challenges

  5. Experimentalraw data 1973-2012

  6. Experimentalraw data 1973-2013

  7. Impacts of the “data deluge” • Storage • ILL archive capacity & performance • Users’ storagebecomingalmost impossible • Moving data • Today how to carry 40TB? • Why carrying them? • Analysis • Almost impossible in most users’ home labs. Jean-François Perrin (ILL) - CERN Openlab IT challenges

  8. Our vision • Large raw data sets should stay and be archived at the source (ILL in our case) • Provide remote analysis infrastructure • Preserve data and the scientific workflow Jean-François Perrin (ILL) - CERN Openlab IT challenges

  9. IT Priority #1: beprepared for PB • Cost is a major issue • Change from scale-up solution to scale out • Object storage ? What about legacy applications ? POSIX semantic? • Aim for manageable solution (avoid multiplicity of low cost solution) Jean-François Perrin (ILL) - CERN Openlab IT challenges

  10. IT Priority #2: remote analysis infrastructure • The aim is to proposed to users to access workstation or analysis application remotely using standard web browser (Cloud for data analysis). • Typical workflow: 1) The user connects remotely using his web browser and its credentials (preferably FIM). 2) Then select one of the experiment he has performed in the list. 3) he gets accessto a computer where the necessary analysis applications have been installed and configured for direct access to experimental data. 4) If necessary he could receive help and support from facility expert, during the analysis. Jean-François Perrin (ILL) - CERN Openlab IT challenges

  11. Benefits • Provide a user friendly environment (most of or users are not expert neither in data treatment, neither in IT and have no home IT support). • Accelerate the analysis process, ease collaboration during analysis. • Solve the difficult security problem of letting external users access internal networks. • Solve the problem of transport of experimental raw data. • Move the work from 'software installation' to 'scientific analysis‘. • Authorize the preservation of the full workflow. Jean-François Perrin (ILL) - CERN Openlab IT challenges

  12. Thanks for your attention Jean-François Perrin (ILL) - CERN Openlab IT challenges

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