Slide 1 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Provenance Implementation in a Scientific Simulation Environment IPAW 2006, Chicago, May 3, 2006 German Aerospace Center (DLR) Simulation and Software Technology Guy K. Kloss <Guy.Kloss@dlr.de> Slide 2 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Overview Scenario Achieving Provenance Awareness Provenance Queries Conclusion Slide 3 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Aerospace Engineering Application Aero Elastic Simulations Coupled Simulation Aero Dynamics Structure Mechanics Wing Deformation Slide 4 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Aerospace Engineering Application Aero Elastic Simulations Coupled Simulation Aero Dynamics Structure Mechanics Wing Deformation Flight Maneuvers Coupled Simulation Aero Dynamics Aero Elasticity Flight Mechanics Test Case Military airplane X-31 Slide 5 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Workflow Flight Maneuver Simulation Coupling Manager Action Steering Component SIMULA Flight Mech. TAU Aerodynamics NASTRAN Aero-Elastics Slide 6 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Distribution of Application File Transfer Start TENT Data/Monitoring Host/File System Network Desktop Cluster Compute Server Data Server GUI Visualization SIMULA Wrapper Flight Mech. Coupling Control Wrapper CFD TAU Sched. System Slide 7 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Overview Scenario Achieving Provenance Awareness Provenance Queries Conclusion Slide 8 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Implementing Provenance Awarenes Pre- Processing Parameter Variation Simulation Visualization Slide 9 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Implementing Provenance Awarenes Pre- Processing Parameter Variation Simulation Visualization Data Server Process Control Slide 10 > Provenance Implementation in a Scientific Simulation Environment > Guy K. Kloss 30. April 2006 Implementing Provenance Awarenes Pre- Processing Parameter Variation Simulation Visualization Data Server Process Control [...]...Implementing Provenance Awarenes i0 PreProcessing d2 Process Control m i1 Parameter Variation i2 Simulation Data Server d1 i4 Visualization i3 Interactions: Process Flow Monitoring Data Management Slide 11 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Implementing Provenance Awarenes i0 PreProcessing d2 Process Control m i1 Parameter Variation i2 Simulation. .. Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Queries Given some data item, what was the simulation case? Given some parameter, in what simulation( s) has it been used? What data has been recorded in a simulation with a specific parameter? What simulations have been run using a given model (aircraft design)? Given two/more simulations with the same setup, what is the... Simulation Data Server d1 i4 Visualization i3 Interactions: State: Process Flow Monitoring of the Actors Data Management Slide 12 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Implementing Provenance Awarenes i0 PreProcessing d2 Process Control m i1 Parameter Variation i2 Data Server d1 Simulation i4 Visualization i3 Interactions: State: Process Flow Monitoring... result and the difference in provenance? Slide 15 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Overview Scenario Achieving Provenance Awareness Provenance Queries Conclusion Slide 16 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Conclusion Provenance Recording: “It's gotta be done!” Compliance to Regulations... Data Management of the Actors Relationships: - r0: i0 causes i1 - r1: i1 causes i2 - r2: i2 causes i3 - r3: i2 causes i4 - r4: i3 causes i2 - r5: i2 causes m - r6: i2 causes d1 - r7: i0 causes d2 Slide 13 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Overview Scenario Achieving Provenance Awareness Provenance Queries Conclusion Slide 14 > Provenance Implementation. .. Data Analysis Easier Access to Data Slide 18 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Thank you for your attention! Further Information: http://www.GridProvenance.org or http://www.dlr.de/sc/projekte /PROVENANCE Any Questions? Slide 19 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 ... Liability Proof and Reproducibility of Results Burden of Recording Slide 17 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss 30 April 2006 Conclusion Provenance Recording: “It's gotta be done!” Compliance to Regulations Liability Proof and Reproducibility of Results Burden of Recording Further Benefits Better Insight into Problems New Means for Data Analysis Easier Access . some data item, what was the simulation case? Given some parameter, in what simulation( s) has it been used? What data has been recorded in a simulation with a specific parameter? What simulations. 2006 Implementing Provenance Awarenes Pre- Processing Parameter Variation Simulation Visualization Data Server Process Control Slide 10 > Provenance Implementation in a Scientific Simulation Environment. 2006 Aerospace Engineering Application Aero Elastic Simulations Coupled Simulation Aero Dynamics Structure Mechanics Wing Deformation Slide 4 > Provenance Implementation in a Scientific Simulation