Transcript Simulation Data Management

Simulation Data
Management
How engineering enterprises can improve Productivity,
Collaboration & Innovation.
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What is Simulation Data management.
Challenges in SDM.
What is Engineering SDM.
What is the scope of improvement for
enterprises.
 Technologies used for high performance
computing and storage.
 Some basic real life examples.
 Benefits of SDM.
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Outline
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Simulation - imitation of the operation of a real-world process or
system over time.
 Data Management- Administrative process by which the
required data is acquired, validated, stored, protected, and
processed.
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Simulation + Data Management = SDM
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Simulation Data Management provides a mechanism to
streamline the execution of our simulation processes while
offering a suitable way to manage data.
Simulation Data Management?
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The Volume, Velocity and Variety of SD.
Managing distributed data securely and
efficiently.
Maintaining Data Integrity.
Collaboration and Communication.
Improving Knowledge Management.
Engineer’s Productivity.
Challenges?
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Engineering SDM
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Data from PDM/ERP/PLM, such as CAD.
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Data within simulation such as boundary
conditions, materials, processes etc.
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Details on simulation type, simulation task
Simulation Input
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Data in large files
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Unstructured solution results
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Output from simulation processes, such
as substructures, images, plots, animation
files, reports.
Simulation Output
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Conceptual Design
 Detailed Design
 Validation
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To address these complexities engineering
Enterprises typically deploy large number of
Software tools.
Unique about ESDM?
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Generally, enterprises are divided into 3
maturity levels regardless of their size.
 Higher maturity level?
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◦ Better dealing with unrelenting data deluge.
◦ Reduced Complexity.
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Lower maturity level?
◦ Opportunity to improve engineering
productivity and innovation.
Classifications
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SDM maturity levels.
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Isolated Islands: Single Tenancy
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SD data stored in Stand-alone systems.
Data retrieval, management, consolidation task
Cumbersome, manual and time consuming.
Unstructured nature of data.
Greater data loss and greater data security
risk.
◦ Lower access to data.
A bit in detail…
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An Archipelago: Replicated Tenancy
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Data within many interconnected islands.
More coordination.
Improved data management/storage tasks.
Improved engineering productivity and
innovation.
◦ More agile and flexible.
In-Detail Contd….
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Cloud : Multi tenancy
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Access to data from anywhere.
Visualization and automated reporting.
Rapid access = improved decision making.
Flexibility and easy to use.
Improved productivity.
Data management and security.
Reduced total cost to ownership (TCO).
In-Detail Contd…
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SDM Architecture - Solution
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Real Example.
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ANSYS EKM – Engg Knowledge Mgnmt.
GPFS – General parallel file system.
IBM storwize V7000 Unified.
IBM Sonas – Scaled out Network attached
Storage.
IBM DCS3700
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SDM can be easily integrated with
PLM/PDM systems.
 Volume, velocity and variety affordably
handled with HPC systems.
 Automated SDM – better business
decisions.
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Conclusion
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http://www.cabotpartners.com/Downloads/wp_addressing
_engineering_simulation_data_mgt.pdf
http://www.ansys.com/Products/Workflow+Technology/Si
mulation+Process+&+Data+Management
http://step.nasa.gov/pde2007/NASA_ESA_PDE_5_07_Gen
e_Allen.pdf
References
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