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HNSciCloud Introduction - Bob Jones - Prototype Phase kickoff meeting


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Bob jones' presentation at HNSciCLoud Prototype Phase Kick-off Meeting, 03 April 2017, CERN

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HNSciCloud Introduction - Bob Jones - Prototype Phase kickoff meeting

  1. 1. 08/12/2016 2
  2. 2. Helix Nebula – The Science Cloud with Grant Agreement 687614 is a Pre-Commercial Procurement Action funded by H2020 Framework Programme Introduction 3 April 2017 Bob Jones CERN IT department 03/04/2017
  3. 3. Helix Nebula Science Cloud Joint Pre-Commercial Procurement Bob Jones, CERN 4 Procurers: CERN, CNRS, DESY, EMBL-EBI, ESRF, IFAE, INFN, KIT, STFC, SURFSara Experts: Trust-IT & The group of procurers have committed • Procurement funds • Manpower for testing/evaluation • Use-cases with applications & data • In-house IT resources Resulting services will be made available to end- users from many research communities Co-funded via H2020 Grant Agreement 687614 Total procurement budget >5.3M€
  4. 4. HNSciCloud project phases Preparation •Analysis of requirements, current market offers and relevant standards •Build stakeholder group •Develop tender material Implementation and sharing Jan’16 Dec’18 Each step is competitive - only contractors that successfully complete the previous step can bid in the next 4/5/2016 5 4 Designs 3 Prototypes 2 Pilots Call-off Feb’17 Call-off Dec’17 Tender Jul’16 Phases of the tender are defined by the Horizon 2020 Pre-Commercial Procurement financial instrument
  5. 5. What will be procured A hybrid cloud platform for the European research community 4/3/2017 6 HNSciCloud PCP Source:CloudComputingforGovies,DLTSolutions, DavidBlankenhorn,VanRistauandCaronBeesley Combining services at the IaaS level to support science workflows The R&D services to be developed are to be integrated with resources in data centres operated by the buyers group and the GEANT network as part of a hybrid model
  6. 6. Challenges Innovative IaaS level cloud services integrated with procurers in- house resources and public e-infrastructure to support a range of scientific workloads Compute and Storage support a range of virtual machine and container configurations including HPC working with datasets in the petabyte range accessible transparently Network Connectivity and Federated Identity Management provide high-end network capacity via GEANT for the whole platform with common identity and access management Service Payment Models explore a range of purchasing options to determine those most appropriate for the scientific application workloads to be deployed Bob Jones, CERN 7
  7. 7. HNSciCloud project phases and milestones 8 Jan’16 Dec’18 Project kick-off 19 Jan 2016 Open Market Consultation 17 March Tender published 21 July Information Day 7 Sept Tender Deadline 19 Sept Design Award 2 Nov Designs submitted 30 Jan 2017 Prototype call-off deadline 13 March