EOP-A Research and Technology Development Section SpaceGRID EO GRID Workshop ESRIN 6-7 May 2002 Pier Giorgio Marchetti see also

EOP-A Research and Technology Development Section SpaceGRID Goals Assess how GRID technology can serve requirements across a large variety of space disciplines and applications. Foster collaboration and enable shared efforts across space applications Sketch the design of an ESA-wide (horizontal and common) GRID infrastructure Proof of concept through prototyping Involve both industry and research centres Keep Europe up with GRID efforts !!

EOP-A Research and Technology Development Section SpaceGRID Study Financed under Agency’s General Study Programme 800KEuro Datamat, main contractor, subcontractors: Alactel Space Industries, CS Systémes d’Information, Qinetic, Rutherford Appleton Laboratories, Science Systems (Space) Ltd 1 Technical Officer + 4 Domain experts from Agency: –Eamonn Daly, Hugh Evans (Space Weather) –Hans-Peter De Koning (Spacecraft Engineering) –Gerhard Kreiner, Salim Ansari (Solar System Research) –Patrick Grimont (Future EO Ground Segments) September 2001-July2003 Co-operation with EC financed projects DataGRID, EGSO

EOP-A Research and Technology Development Section Radiation Transport Geant4 Application Monte-Carlo simulation of high energy particle interactions inside a spacecraft system, components or detector. Large numbers (>10 7 ) of source particles are required to ensure good statistics. Easily adaptable to a parallel processing system (independent particle histories).

EOP-A Research and Technology Development Section Spacecraft/Plasma Simulation Monte-Carlo 3-d time dependent electrostatic kinetic Particle-in-Cell Method. Large Number of particles (>10 9 ) to be tracked per iteration. Strong coupling between cells required to solve the field. Challenging to develop sufficiently independent subtasks for parallel processing.

EOP-A Research and Technology Development Section Space Weather Simulation Simulation of a Coronal Mass Ejection and interplanetary shock from the Sun to the Earth and subsequent effects on the Earth’s magnetosphere Magneto Hydrodynamic Simulation (MHD). Particle simulation of shock effects on trapped particle belt population (adiabatic responses). Trade-off GRID vs LCMPP and solutions

EOP-A Research and Technology Development Section SpaceGRID - Objectivies for ESA Science Evaluation of GRID technology in support of Solar System Research activities: access to multiple distributed data archives online data manipulation, analysis and visualisation of complex data sets interoperability between legacy systems and heterogeneous databases collaborative environment (e.g. sharing of algorithms for analysis and visualisation)

EOP-A Research and Technology Development Section ENVISAT launched 28 February instruments on board 10 instruments on board 200 Mbps data rate to ground 200 Mbps data rate to ground 400 Tbytes data archived/year 400 Tbytes data archived/year ~100 “standard” products ~100 “standard” products 10+ dedicated facilities in Europe 10+ dedicated facilities in Europe ~700 approved science user projects ~700 approved science user projects launched 28 February instruments on board 10 instruments on board 200 Mbps data rate to ground 200 Mbps data rate to ground 400 Tbytes data archived/year 400 Tbytes data archived/year ~100 “standard” products ~100 “standard” products 10+ dedicated facilities in Europe 10+ dedicated facilities in Europe ~700 approved science user projects ~700 approved science user projects

EOP-A Research and Technology Development Section Space Communication - ARTEMIS ESOC FOCC KIRUNA USERS ESRIN PDS Ka-Band X-Band

EOP-A Research and Technology Development Section Number crunching: interferometry and DEM generation

EOP-A Research and Technology Development Section Knowledge Driven Information Mining

EOP-A Research and Technology Development Section

Mechnical Engineering Usage Scenario GRID-based analysis and test support Test team at test facility (ESTEC, Intespace, IABG) Engineering analysis team at (sub)contractor site (anywhere in Europe) Test results data Updated analysis predicitions  Remote monitoring of test  Near-real-time correlation analysis model with test results  Near-real-time investigation of test anomalies  Perform test scenario  Make test data available Video/audio teleconferencing

EOP-A Research and Technology Development Section Why Service Chaining Service 1: NDVI Service 4: Land use Service 2: LST Service 5: Meteo info +SC permits  exploitation of multiple Services 1,2,3  new improved Service: Risk Index corrected with meteo  new Service: precision farming (NDVI + land use + meteo)  … Service 3=1+2 Risk Index

EOP-A Research and Technology Development Section Simple Service Chaining Service C Request Receive Request Process Service A Receive Request B Process Service C=A+B Service C Status PortalService CService AService B Service C Delivery Info Deliver Service C=A+B Receive Request A Deliver Service A Process Service B Deliver Service B

EOP-A Research and Technology Development Section High Level GRID Requirements Distributed access to –computing and storage resources –real-time data and archives Seamless integration with W3C Web Services Easy access to metadata repositories Seamless integration with flow control and management Domain based and geographic based Portals and Service directories Network availability Group to Group Collaborative Environment