Skip to main content

Design Principles for a Grid-enabled Problem-solving Environment to Be Used by Engineers

  • Chapter
Book cover Grid Computing: Software Environments and Tools
  • 312 Accesses

13.5 Conclusions

The Geodise PSE represents the product of a number of architectural decisions motivated by the design principles outlined in this document, and by the problem domain of EDSO. To develop a PSE that the engineer is able and willing to use, we believe that it is important to meet both the requirements and expectations of the engineer.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. NASA Information Power Grid, (2004) http://www.ipg.nasa.gov/

    Google Scholar 

  2. Distributed Aircraft Maintenance Environment, (2004) http://www.cs.york.ac.uk/dame/

    Google Scholar 

  3. A. Gould, S. Barker, E. Carver, D. Golby, and M. Turner, BAEgrid: From e-Science to e-Engineering, in Proceedings of the UK e-Science All Hands Meeting 2003, Nottingham, EPSRC (2003), pp. 467–474

    Google Scholar 

  4. W. Song, A.J. Keane, and S.J. Cox, CFD-based Shape Optimization with Grid-enabled Design Search Toolkits, in Proceedings of the UK e-Science All Hands Meeting 2003, Nottingham, EPSRC (2003), pp. 619–626

    Google Scholar 

  5. G. Fox, D. Gannon, and M. Thomas, A Summary of Grid Computing Environments, Concurrency and Computation: Practice and Experience 14, 1035–1044 (2002)

    Article  Google Scholar 

  6. E. Gallopoulos, E. Houstis, and J.R. Rice, Computer as Thinker/Doer: Problem-solving Environments for Computational Science, IEEE Computational Science & Engineering 1, 11–21 (1994)

    Article  Google Scholar 

  7. M.H. Eres, G.E. Pound, Z. Jiao, J.L. Wason, F. Xu, A.J. Keane, and S.J. Cox, Implementation and utilization of a Grid-enabled Problem-solving Environment in Matlab, Future Generation Computer Systems (2004) (in press)

    Google Scholar 

  8. A.J. Keane, Wing Optimization Using Design of Experiment, Response Surface, and Data Fusion Methods, Journal of Aircraft 40, 741–750 (2003)

    Article  Google Scholar 

  9. A.J. Keane, The Design of a Satellite Boom with Enhanced Vibration Performance Using Genetic Algorithm Techniques, J. Acoust. Soc. Am. 99, 2599 (1996)

    Article  Google Scholar 

  10. M. Molinari, K.S. Thomas, and S.J. Cox, Electromagnetic Design Search and Optimization of Photonic Bandgap Devices on Distributed Computational Resources, in Proceedings of the Fifth International Conference on Computation in Electromagnetics (2004), pp. 103–104

    Google Scholar 

  11. J.R. Rice and R.F. Boisvert, From Scientific Software Libraries to Problem Solving Environments, IEEE Computational Science & Engineering 3, 44–53 (1996)

    Article  Google Scholar 

  12. Bramley, R., Char, B., Gannon, D., Hewett, T.T., Johnson, C., and Rice, J.R., Workshop on Scientific Knowledge, Information and Computing, in Enabling Technologies for Computational Science: Frameworks, Middleware and Environments (Kulwer, Boston, 2000), pp. 19–32

    Google Scholar 

  13. T.T. Hewett and J.L. DePaul, Toward a Human-centered Scientific-problem Solving Environment, in Enabling Technologies for Computational Science: Frameworks, Middleware and Environments (Kulwer, Boston, 2000), pp. 79–90

    Google Scholar 

  14. S. Agrawal, J. Dongarra, K. Seymour, and S. Vadhiyar, NetSolve: Past, Present, and Future; A Look at a Grid Enabled Server, in Grid Computing: Making the Global Infrastructure a Reality (Wiley, Chichester, UK, 2003), pp. 615–624

    Google Scholar 

  15. Commodity Grid Kits, (2004) http://www.globus.org/cog/

    Google Scholar 

  16. G. von Laszewski, I. Foster, J. Gawor, and P. Lane, Java Commodity Grid kit, Concurrency and Computation: Practice and Experience 13, 643–662 (2001)

    Article  Google Scholar 

  17. M. Parashar, G. von Laszewski, S. Verma, J. Gawor, K. Keahey, and N. Rehn, A CORBA Commodity Grid Kit, Concurrency and Computation: Practice and Experience 14, 1057–1074 (2002)

    Article  MATH  Google Scholar 

  18. I. Foster, C. Kesselman, S. Tuecke, The Anatomy of the Grid: Enabling Scalable Virtual Organizations, International Journal of Supercomputer Applications 15, 200–222 (2001)

    Article  Google Scholar 

  19. V. Mann and M. Parashar, DISCOVER: A Computational Collaboratory for Interactive Grid Applications, in Grid Computing: Making the Global Infrastructure a Reality (Wiley, Chichester, UK, 2003), pp. 729–746

    Google Scholar 

  20. Access Grid, (2004) http://www.accessgrid.org/

    Google Scholar 

  21. C. Lee and D. Talia, Grid Programming Models: Current Tools, Issues and Directions, in Grid Computing: Making the Global Infrastructure a Reality (Wiley, Chichester, UK, 2003), pp. 555–575

    Google Scholar 

  22. D.W. Barron, The World of Scripting Languages (Wiley, Chichester, UK, 2000)

    Google Scholar 

  23. D.M. Beazley and P.S. Lomdahl, Building Flexible Large-scale Scientific Computing Applications with Scripting Languages, in Proceedings of the Eighth SIAM Conference on Parallel Processing for Scientific Computing, Minneapolis, Minnesota, SIAM (1997)

    Google Scholar 

  24. Matlab 6.5., (2004) http://www.mathworks.com/

    Google Scholar 

  25. Jython 2.1., (2004) http://www.jython.org/

    Google Scholar 

  26. The Globus Alliance, (2004) http://www.globus.org/

    Google Scholar 

  27. The Condor Project, (2004) http://www.cs.wisc.edu/condor/

    Google Scholar 

  28. [28] National Grid Service, (2004) http://www.ngs.ac.uk/

    Google Scholar 

  29. Z. Jiao, J. Wason, M. Molinari, S. Johnston, and S. Cox, Integrating Data Management into Engineering Applications, in Proceedings of the UK e-Science All Hands Meeting 2003, Nottingham, EPSRC (2003), pp. 687–694

    Google Scholar 

  30. M. Molinari, XML Toolbox for Matlab v2.0, (2003) http://www.geodise.org/toolboxes/generic/xml toolbox.htm

    Google Scholar 

  31. L. Chen, N.R. Shadbolt, C. Goble, F. Tao, S.J. Cox, C. Puleston, and P. Smart, Towards a Knowledgebased Approach to Semantic Service Composition, in The SemanticWeb—ISWC 2003, vol. 2870, Lecture Notes in Computer Science (Springer, 2003), pp. 319–334

    Google Scholar 

  32. A.R. Price, G. Xue, A. Yool, D.J. Lunt, T.M. Lenton, J.L. Wason, G.E. Pound, and S.J. Cox, Tuning Genie Earth System Model Components Using a Grid-enabled Data Management System. in Proceedings of the UK e-Science All Hands Meeting 2004, Nottingham, EPSRC (2004), pp. 593–694

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer-Verlag London Limited

About this chapter

Cite this chapter

Pound, G., Cox, S. (2006). Design Principles for a Grid-enabled Problem-solving Environment to Be Used by Engineers. In: Cunha, J.C., Rana, O.F. (eds) Grid Computing: Software Environments and Tools. Springer, London. https://doi.org/10.1007/1-84628-339-6_13

Download citation

  • DOI: https://doi.org/10.1007/1-84628-339-6_13

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-998-2

  • Online ISBN: 978-1-84628-339-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics