NATIVE. BUT DIFFERENT. OCRE Workshop, 20/06/19, Brussels. Jurry de la Mar.

Four building blocks to create value for OCRE – integrated by the unique T-Systems approach

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Connectivity Digital

Cloud & Infrastructure

Security

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Cloud & Infrastructure

Harness the potential of cloud for research: use the experience of a multi-cloud orchestration provider and a cloud pioneer with more than 10 years of experience.

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Helix Nebula on-demand research with 50,000 orchestrated containers and 10G streaming

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Helix Nebula – The Science Cloud with Grant Agreement 687614 is a Pre-Commercial Procurement Action funded by H2020 Framework Programme

On the way to an Open Science Cloud Experience and Results from the Helix Nebula Project

for OCRE Workshop

20th June 2019 Jurry de la Mar (T-Systems)

Helix Nebula Science Cloud Joint Pre-Commercial Procurement

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Procurers: CERN, CNRS, DESY, EMBL-EBI, ESRF, IFAE, INFN, KIT, STFC, SURFSara Experts: Trust-IT & EGI.eu Resulting IaaS services support use-cases from many research communities Deployed in a hybrid cloud mode: • procurers data centres • commercial cloud service providers • GEANT network, EduGAIN and ELIXIR Federated Identity Management Total procurement budget >5.3M€

Co-funded via H2020 Grant Agreement 687614

HEP Flagship Deployments WLCG

ALICE, ATLAS, CMS and LHCb

Daniele Spiga (INFN), DODAS Dynamic Analytic Services: https://indico.cern.ch/event/587955/contributions/2937198/

Matthias Schnepf (KIT), Dynamic Integration of resources: https://indico.cern.ch/event/587955/contributions/2937900/

CERN Batch Service

Container Federation

Openstack Summit, reference talk: https://www.openstack.org/summit/vancouver-2018/summit-schedule/events/20768/cern-experiences-with-multi-cloud-federated-kubernetes

Belle II

Silvio Pardi (INFN) experience of Belle II with commercial clouds: https://indico.cern.ch/event/587955/contributions/2937060/

Interactive Analysis for End Users for TOTEM

Machine Learning/Deep Learning for Fast Detector Simulation using GPUs

Sofia Vallecorsa (CERN openlab), and Jean-Roch Vlimant (CMS):

https://indico.cern.ch/event/587955/contributions/2937595/

https://indico.cern.ch/event/587955/contributions/2937513/ 8

DESY CrystFEL Use Case

Molecular 3D imaging at atomic scale

Very high time resolution

Resolve inner structures (not just surface) of biological objects

Virus

Cell nucleus

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To reconstruct a 3D image a large amount of random oriented single images have to be combined

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source: https://cid.cfel.de/research/femtosecond_crystallography/

CERN CMS Use Case – DODAS service

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