Provenance Implementation in a Scientific Simulation Environment docx

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... Scena

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>

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

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

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

Implementing Provenance Awarenes

Pre-Processing

Parameter

Slide 9 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss

30 April 2006

Implementing Provenance Awarenes

Pre-Processing

Parameter

Data Server Process

Control

Implementing Provenance Awarenes

Pre-Processing

Parameter

Data Server Process

Control

Slide 11 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss

30 April 2006

Implementing Provenance Awarenes

Pre-Processing

Parameter

Data Server

Process Control

i0

i3

i4

d2

Interactions:

Process Flow Monitoring Data Management

Implementing Provenance Awarenes

Pre-Processing

Parameter

Data Server

Process Control

i0

i3

i4

d2

Interactions:

Process Flow Monitoring Data Management

State:

of the Actors

Slide 13 > Provenance Implementation in a Scientific Simulation Environment > Guy K Kloss

30 April 2006

Implementing Provenance Awarenes

Pre-Processing

Parameter

Data Server

Process Control

i0

i3

i4

d2

Interactions:

Process Flow Monitoring Data Management

State:

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

Scenario

Achieving Provenance Awareness

Provenance Queries

Conclusion

Slide 15 > Provenance 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 result and the difference in provenance?

Scenario

Achieving Provenance Awareness

Provenance Queries

Conclusion

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

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 to Data

Slide 19 > 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?