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INAF experience in Grid projects

INAF experience in Grid projects. C. Vuerli, G. Taffoni, V. Manna, A. Barisani, F. Pasian INAF – Trieste. Overview. The GRID.IT Project DRACO and the VO INAF Planck Simulations in EGEE New powerful Grid infrastructures TriGrid Virtual Laboratory Training and Dissemination.

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INAF experience in Grid projects

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  1. INAF experience in Grid projects C. Vuerli, G. Taffoni, V. Manna, A. Barisani, F. Pasian INAF – Trieste

  2. Overview • The GRID.IT Project • DRACO and the VO INAF • Planck Simulations in EGEE • New powerful Grid infrastructures • TriGrid Virtual Laboratory • Training and Dissemination

  3. GRID.IT Project • The GRID.IT Project • Application 1 • Accessing Databases through the GRID • Processing Data extracted from Databases • Ingesting results of Data Processing in Databases • Application 2 • Porting in GRID the VST Pipelines • Application 3 • Monitoring of Astronomical Instrumentation through the GRID

  4. GRID.IT / Application 1 • Problem • The middleware based on Globus 2.4 didn’t offer any mechanism to access databases • Solutions • Evaluation of a number of possible solutions • Spitfire • OGSA-DAI • G-DSE

  5. GRID.IT / Application 1 • Spitfire • Not suitable for us (poor functionalities) • OGSA-DAI • WS-based: we don’t want to merely access data. We want databases integrated in Grid and look at DBMS machines as computational machines • G-DSE • Databases as embedded resources in GRID

  6. GRID.IT / Application 3 • Past experience in developing Telescope and instrumentation control systems and participation to EU pilot projects to remotely monitor and control them • We want to go ahead with this experience and use GRID for this purpose • First simple monitoring prototype: tests carried out at Trieste and Naples

  7. GRID.IT / Future evolution • G-DSE + QE • G-DSE prototype engineering • Design, implementation and test of the QE • G-DSE + QE in production • G-ICS + IE • Design, implementation and test of the G-ICS and of the IE • G-ICS + IE in production

  8. In production…but where ? • G-DSE + QE • All INAF Databases in GRID with G-DSE • Other scientific communities are testing it : INFN, Bioinformatics, Archaeologists, … • Supporting Planck simulations in future releases • Projects in preparation to port it on EGEE and DEISA • G-ICS + IE • Close contacts with GridCC • Strong interest for instruments and sensors in Grid • ICTP and INAF Naples : monitoring and controlling networks of sensors via Grid

  9. DRACO • A Grid portal thought and designed for astrophysical applications • Porting astrophysical applications in GRID • Definition of astronomical data analysis workflow on a service-oriented Grid architecture using BPEL (Manna et al.) • Data Mining and Massive computing for GRID at Naples-Salerno Unit • Astronomical Data Reduction in Data Grid • Various kinds of evolutionary models • ACME for GRID • The INAF VO is now growing

  10. Planck simulations in EGEE • Planck simulations is an officially supported pilot EGEE application since November 2004 • Planck application also in EGEE-2 • A Planck VO, led by INAF Trieste, is in place. It groups together Grid sites located in six European countries

  11. Planck simulations in EGEE • First experiments to port the Planck simulations in Grid at INAF-Trieste • Partial Planck simulation pipelines in June 2004 using the GRID.IT Grid infrastructure • Simulation of the whole Planck mission (two complete sky surveys) in Grid and comparison of results with those got on a single dual-CPU workstation • New bricks of the Planck pipeline in Grid in the next months • WG8 meeting at MPA (Germany) in June 2006

  12. Planck simulations in EGEE • Planck simulations didn’t make use of databases until now, but… • They could be profitably integrated and used in the near future • Ground based test and calibrations of the spacecraft and of the instruments are now in progress • Data collected in this phase must be saved somewhere and used during the operative phase of the mission • …therefore this is a new test-bed for G-DSE

  13. TriGrid Virtual Laboratory

  14. TriGrid Virtual Laboratory • Catania Pole: • ~100 machines dual CPU 32/64 bit. Aggregated power of 300 kSpecInt2000. • 30 TB of storage EIDE-to-SCSI or FC-to-SATA in RAID 0,1,5 • 20 working stations for development/porting of applications • Messina Pole: • ~80 machines dual CPU 32/64 bit. Aggregated power of ~240 kSpecInt2000. • 20 TB of storage EIDE-to-SCSI or FC-to-SATA in RAID 0,1,5 • Palermo Pole: • ~30 machines dual CPU 32/64 bit. Aggregated power of ~100 kSpecInt2000. • 10 TB of storage EIDE-to-SCSI or FC-to-SATA in RAID 0,1,5

  15. Training and dissemination • The knowledge of GRID must grow both at national and European level • It is necessary to train Grid managers able to install, configure and maintain Grid sites • It is necessary to train astronomers to illustrate them this new technology and make them aware of what they can profitably do with the Grid for their everyday work

  16. Training and dissemination • How to train ? • Meetings and workshops both at national and European level • Theoretical lessons • Practical training • Astronomers bring applications of interest and try to gridify them with our help • On site dedicated workshops • Grid schools • Coordination with Working Groups having the same objectives (the Planck Working Group 8)

  17. The End Thank you for your attention

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