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GRID and e-Science: from the Infrastructure to Scientific Applications

GRID and e-Science: from the Infrastructure to Scientific Applications. G. Amorós , F. Fassi , A. Fernández , S. González de la Hoz , M. Kaci , A. Lamas, E. Oliver, J. Salt, J. Sánchez , V, Sánchez , M. Villaplana 5th-7th October 2011. Presented by : José F. Salt Cairols.

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GRID and e-Science: from the Infrastructure to Scientific Applications

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  1. GRID and e-Science: from the Infrastructure to Scientific Applications G. Amorós, F. Fassi, A. Fernández, S. González de la Hoz, M. Kaci, A. Lamas, E. Oliver, J. Salt, J. Sánchez, V, Sánchez, M. Villaplana 5th-7th October 2011 Presented by : José F. Salt Cairols

  2. Overview 1.- GRID & e-Science Research Line of IFIC 2.- The GRID & e-Science Infrastructure at IFIC - ATLAS Tier-2 - GRID-CSIC 3.- Achievements of the WLCG & ATLAS T2 4.- Scientific Applications in GRID-CSIC 5.- Conclusions and perspectives

  3. 1.- The IFIC GRID & e-Science Research Line • Which is e-Science?: • GRID & e-Science Research Line: • To participate in projects, at different levels, in R + D + i to provide solutions in problems involving computational resources and establishing the synergies between researchers and the Informatic Service of IFIC, which supports and maintain the e-Science infrastructure deployed at the CPD. • Now the group is formed by 11 people (aprox.): G. Amorós, F. Fassi, A. Fernández, S. González de la Hoz, M. Kaci, A. Lamas, E. Oliver, J. Sánchez, J. Salt, V. Sánchez, M. Villaplana • Projects: • DATAGRID, CROSSGRID, IRISGRID, EGEE-I, EGEE-II, EGEE-III, EGI-INSPIRE,PARTNER, TIER2 (ATLAS), GRID-CSIC, Metacentro de GRID y Supercomptuación de la Comunitat Valenciana • COLLABORATIONS: IBERGRID, Red Española de e-Ciencia ,NGI, ENLIGHT • ñññ • ‘Acción Especial’ (2000-2001) • LCG- oriented project (2002-2004) • ATLAS Tier-2 project (Development & construction): 2005-2007 (2 years) • ATLAS Tier-2 project (phase I): 2008-2010 ( 3 years ) • ATLAS Tier-2 project (phase II): 2011-2013 (3 years)

  4. 2.- GRID & e-Science Infrastructure of IFIC • It has twoparts: • The ATLAS Tier-2 : fundedbythe HEP SpanishProgram • The GRID-CSIC: fundedby CSIC • It has thefollowingcomputingresources – CPU & Disk- installed and working: • Maintainedbythe IFIC InformaticService 1 Petabyte Storage !!

  5. Universidad Autónoma de Madrid (Madrid) Instituto de Física de Altas Energías (Barcelona) Instituto de Física Corpuscular (Valencia) 25% 25% 50% • The Spanish ATLAS Tier-2 is integrated in the WLCG Project (Worldwide LHC Computing GRID) and follows the ATLAS Computing Model Deployed Equipment: Human Resources: 14 FTE (as of October 2011)

  6. 3.- Achievements of the GRID LHC • Robustness of a distributedinfrastructure • Covering a lowprofilesituation of a sitebytheothersites • Differentapproaches can bestudied and chosethebestone in theend • Most of theUserCommunityactivities can be done in a commonteamgivingsupporttothe 3 sites: • DisributedAnalysis • Data Management • BetterMonitoring • To share experiences and knowledgebetweensites • Deployingtechnicalsolutions: forinstance, LUSTRE • TWIKI and FAQ of thesites (UserSupport) In this period the ES-ATLAS-T2 has been deployed, put in normal Operation and has provided support to the Spanish ATLAS User Community

  7. > 90% Prob (3 sites down) ≈ = 0.0001 Reliability = Uptime / (Total time - Scheduled Downtime - Time_status_was_UNKNOWN) Prob (1 site down) ≈ 0.05 Availability = Uptime / (Total time - Time_status_was_UNKNOWN)

  8. Evolution of the T2 Resources

  9. Evolution of ALL ATLAS T-2 including the pledged already delivered plus the Estimated resources since 2011 onwards (numbers are cumulative): Spanish ATLAS T-2 assuming a contribution of a 5% to the whole effort: Pledges 2012-13 New Project 2012: Preliminary Estimates Prov. By ATLAS 2011: Official requirements

  10. Use of the GRID-CSIC Infrastructure • Procesuretohaveaccesstothe GRID CSIC resources of IFIc • Toobtain a useraccount • Toobtain a Digital Certificate of Autentifcation • Toinstallthe personal cetificate in AFS • Tojoin a Virtual Organization (VO) -> Nowthemostusedisthe IFIC VO • https://twki.ific.uv.es/twiki/bin/view/ECiencia/GridCSICMain

  11. 4.- Scientific Applications in GRID CSIC • There are 2 posible contributions: • Migrations of applications to GRID • New developments in e-Science • Example: HISP Platform (PARTNER) • Common features: • Most of the problems are solved using sequential computing ; • Oriented to Data Storage and Data Management • High experience in Monte Carlo calculations

  12. Migration of Scientific Applications to GRID Theroetical Physics Medical Physics Experimental High Energy Physics Astroparticle Nuclear Physics Lattice QCD PARTNER ID Alignment Medical Image Physics Analysis

  13. APPLICATION IN MEDICAL IMAGE:Monte Carlo Simulations for PET • Techniques in Monte Carlo Simulations are used • Treatment Planning in Radiotherapy: Dose Calculations • To evaluate the performance • To understand and to analyze the fundamental phenomena which are in the basis of the image generation • Data Generation: • To test the new reconstruction algorithms • To separate effects • Simulation Packages optimized for their use in Medical Image: • SimSet • GATE • Geant4 • Own code • Group of Medical Physics and Medical Image (IFIC) • Reporting in this meeting • Interaction with the GRID & e-Science group for computational issues

  14. A Particle Training Network for European Radiotherapy (PARTNER): Hadrontherapy Information Sharing Platform (HISP) PARTNER Portal • Data Federation and Presentation: • Unified view over distributed data sources • Secure and intuitive portal • Data Collection Services and Semantic Interoperability: • Semantics of data capturing forms • Services for electronic data capture • Analyzing medical information: • HT treatment indication • Predict treatment outcome • PARTNER setup: • DB1: MySQL (IFIC) , DB2:Oracle (CERN) Dynamic Federated Virtual DB DB1 DB2

  15. Hadrontherapy Information Sharing Platform (HISP) PARTNER • Federation: virtual database provides a unified view on the actual data • Leave data where it was created and not copy it centrally (data warehousing) • Access to heterogeneous repositories • Login based on • password • X509 (grid-compatible) certificates • Role based access control • Doctor • Patient • Researcher • AdminSecurity

  16. 5.- Conclusions and Perspectives • GRID Computing & e-Science Reseach Line is very important for: • the incorporation of the innovative aspects coming from Distributed Computing • Promoting the collaborative activities of different scientific research lines (as a ‘transversal’ action ) in a International context • GRID in LHC ( in particular , in ATLAS): it is working very well, excellent performance • Most of the GRID Computing & e-Science in Spain has had its origin and first development in the framework of the LHC Computing GRID initiative. This experience has been/is being exported to other scientific applications • Rabat-Valencia Collaboration: The Development of a Moroccan Tier-3, ATLAS Physics Analysis and Medical Physics applications have been the first common areas of interest of our groups. More common areas to be added to the list.

  17. GRID-CSIC: needs to have more migrated applications, to have more programs running in order to have a more efficient use of the funded resources. • From European projects: it is needed a business model for the next years ( EGI-INSPIRE project). • The Research Line will evolve (hopefully) to new trends in computing: Cloud Computing, Virtualization, etc

  18. MORE INFORMATION :

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