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Integrating data management into engineering applications

Integrating data management into engineering applications
Integrating data management into engineering applications
Engineering design search and optimisation is the process whereby engineering modelling and analysis are exploited to yield improved designs. It is a computationally and data intensive process - an application domain well-suited to Grid technology. Many on-going activities focus on utilising computing resources on the grid. However, it is equally important to manage efficiently the vast and varied amount of data produced by grid applications. In this paper we describe the tools we have implemented in the Geodise project to transparently integrate database technologies into engineering applications.
The toolkit has been incorporated into Matlab which is popular in the engineering community for its ease of use and rich functionality. We adopt open standards and a service oriented approach to leverage existing database technologies. Databases are accessed through web services and Globus is used for file transfer and authentication. The Geodise data management architecture consists of flexible, modular components which can be utilized by higher level applications for managing data on the Grid. We demonstrate our toolkit in the context of an industrially relevant exemplar problem.
database applications, grid computing, xml, xml schema, web services, matlab, engineering design search, optimisation
687-694
Jiao, Zhuoan
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Wason, Jasmin
c5b37ffd-abe2-451d-b49e-71b5f8c75ae4
Molinari, Marc
db124af1-8110-4ac5-823b-cc9bdc896432
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Cox, Simon J.
0e62aaed-24ad-4a74-b996-f606e40e5c55
Jiao, Zhuoan
8a8e0d14-2756-4649-84b5-96be05af5e2b
Wason, Jasmin
c5b37ffd-abe2-451d-b49e-71b5f8c75ae4
Molinari, Marc
db124af1-8110-4ac5-823b-cc9bdc896432
Johnston, Steven
6b903ec2-7bae-4a56-9c21-eea0a70bfa2b
Cox, Simon J.
0e62aaed-24ad-4a74-b996-f606e40e5c55

Jiao, Zhuoan, Wason, Jasmin, Molinari, Marc, Johnston, Steven and Cox, Simon J. (2003) Integrating data management into engineering applications. Proceedings of UK e-Science All Hands Meeting 2003, Nottingham, UK. 02 - 04 Sep 2003. pp. 687-694 .

Record type: Conference or Workshop Item (Paper)

Abstract

Engineering design search and optimisation is the process whereby engineering modelling and analysis are exploited to yield improved designs. It is a computationally and data intensive process - an application domain well-suited to Grid technology. Many on-going activities focus on utilising computing resources on the grid. However, it is equally important to manage efficiently the vast and varied amount of data produced by grid applications. In this paper we describe the tools we have implemented in the Geodise project to transparently integrate database technologies into engineering applications.
The toolkit has been incorporated into Matlab which is popular in the engineering community for its ease of use and rich functionality. We adopt open standards and a service oriented approach to leverage existing database technologies. Databases are accessed through web services and Globus is used for file transfer and authentication. The Geodise data management architecture consists of flexible, modular components which can be utilized by higher level applications for managing data on the Grid. We demonstrate our toolkit in the context of an industrially relevant exemplar problem.

Text
jiao_IntDatManEngApp_eScAH_2003_p687-694.pdf - Accepted Manuscript
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More information

Published date: 2003
Venue - Dates: Proceedings of UK e-Science All Hands Meeting 2003, Nottingham, UK, 2003-09-02 - 2003-09-04
Keywords: database applications, grid computing, xml, xml schema, web services, matlab, engineering design search, optimisation

Identifiers

Local EPrints ID: 22589
URI: http://eprints.soton.ac.uk/id/eprint/22589
PURE UUID: f335eacf-98c4-46f7-883c-fa23fa1b5e0c
ORCID for Steven Johnston: ORCID iD orcid.org/0000-0003-3864-7072

Catalogue record

Date deposited: 01 Jun 2006
Last modified: 15 Mar 2024 06:39

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Contributors

Author: Zhuoan Jiao
Author: Jasmin Wason
Author: Marc Molinari
Author: Steven Johnston ORCID iD
Author: Simon J. Cox

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