ppt - Grid@Asia
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Transcript ppt - Grid@Asia
21 – 23 June 2005
SIMDAT
Data Grids for Process and Product Development
using Numerical Simulation and Knowledge Discovery
Marije Geldof
Fraunhofer SCAI, Germany
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
Jamil Appa
BAE Systems, UK
The Grid House
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT Facts
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IST Grid IP project
4 years
Start date: September 1st, 2004
26 partners
www.simdat.org
End Users
Capability Providers
Grid Technologists
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT Objectives
• Develop federated versions of problem solving
environments
– Support of distributed product and process development
– Test and enhance grid technology for access to distributed data
bases
– Tools for semantic transformation between these data bases
– Grid support for knowledge discovery
• Promote defacto standards
• Raise awareness in important industrial sectors
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT - Strategy
• SIMDAT takes an ambitious and credible route to drive Grid
technology to the heart of industrial process:
Phase 1: Connectivity
Deployment of Grid
concepts, existing and
emerging architectures
with particular attention to
data management.
Phase 2: Interoperability
Data aggregation
through the use of
ontological concepts.
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
Phase 3: Knowledge
Workflows for nextgeneration aggregated
knowledge capture,
discovery and mining.
SIMDAT - Overview
Four sectors of
international economic
importance:
Automotive
Pharmaceutical
Aerospace
Meteorology
Seven Grid-technology
development areas:
Grid infrastructure
Distributed Data Access
VO Administration
Workflows
Ontologies
Analysis Services
Knowledge Services
The solution of industrially relevant complex problems
using data-centric Grid technology.
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
V-GISC Conceptual view
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The project will develop an
infrastructure based on a
Virtual Database Service that
provides a single view of
distributed meteorological
databases
– Improve visibility and access to
data through a comprehensive
discovery service based on
metadata development
– Add value to existing data sets
by enabling diverse databases
to be used as a unique virtual
resource
– Offer a subscription services
and a variety of reliable
delivery services
– Provide a global access
control policy managed by the
partners and integrated into
their existing security
infrastructure
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT Project Results
• Federated versions of existing commercial Problem Solving
Environments
(for example MSC.SímManager, ESI Composer, ESI SDM, LMS
Tec.Manager, LION SRS)
• Grid enabled versions of (commercial) analysis services
(for example ESI PAM-CRASH, MSC.Nastran)
• Grid technology services
– Commercial products for Grid support of Workflow, Ontologies
– Grid enabled version of the WEKA data mining tool
– Commercial product for Grid enabled model development
(LMS.OPTIMUS)
• Contributions to standardisation activities
• Industrial showcases solving complex problems
– Demonstration of the industrial relavance of the project results
– (for example: Distributed knowledge discovery for the NVH
behaviour of multiple cars based on the same platform)
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
For more information
www.simdat.org
SIMDAT
© Fraunhofer Institute SCAI and other members of the SIMDAT consortium
SIMDAT
Data Grids for Process and Product Development
using Numerical Simulation and Knowledge
Discovery
[email protected]
©BAE Systems and other members of SIMDAT consortium
SIMDAT
Aerospace Industry – Product Development
- Aerospace Industry: designs, manufactures and supports a wide range of
products from electronic sub systems to complete systems like Airbus A340
- Key skills include systems integration, complete software and hardware
development and advanced manufacturing
- Carried out in a collaborative environment with complex relationships
Dealing with complex product development
in a collaborative and complex business
environment
©BAE Systems and other members of SIMDAT consortium
SIMDAT
Aerospace Activity Use Case
- Collaborative design of a complex sub-system
- A scenario involving aggregation of distributed capabilities operating
across organisational boundaries
- Objectives
- To show how Grid technology and concepts can be used to improve
product design
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Improved access to and use of physical modelling
High-fidelity, integrated engineering data available sooner
Controlled sharing of IP across organisations
Improved management of analysis workflows and associated data
©BAE Systems and other members of SIMDAT consortium
SIMDAT
Aerospace Activity Scenario
- Multi-disciplinary collaborative configuration design of a low-noise, high-lift
landing system
©BAE Systems and other members of SIMDAT consortium
SIMDAT
Aerospace Activity Scenario – CAE Design Lab
©BAE Systems and other members of SIMDAT consortium
SIMDAT
CAE Design Lab - Exploration Demonstrator PM 12
- Objectives
- Ability to populate a design space within the constraints so that optimum
can be chosen.
- Inter-Enterprise secure and controlled access to simulation tools applied
to evaluate design points.
- Success Measure
- Connectivity and interoperability of federated and distributed tools rather
than the quality of the optimisation.
©BAE Systems and other members of SIMDAT consortium
SIMDAT
Potential Topics for Collaboration
- Provisioning of experimental Test Data
- Experimental tests
- Data collected and provided as a service
- Increases knowledge in the system
- Challenging when driven by design optimisation
- Provisioning of analysis services for new disciplines
- To enable study of dynamic effects – acoustics of deploying flap
- Computational Aero Acoustics
- Computationally challenging
©BAE Systems and other members of SIMDAT consortium