Skip to main content
SpringerLink
Log in

Grid Enabled Optimization

  • Conference paper
Advances in Grid Computing - EGC 2005 (EGC 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3470))

Included in the following conference series:

Abstract

In this paper, we present a scalable parallel framework, which employs grid computing technologies, for solving computationally expensive and intractable design problems. Using an aerodynamic airfoil design optimization problem as an example the application of the grid computing strategies is discussed.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 119.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. SIGHT, Engineous software Inc, iSIGHT, Version 7.1 (2004), http://www.engineous.com

  2. Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International J.Supercomputer Applications 15(3) (2001)

    Google Scholar 

  3. Agrawal, S., Dongarra, J., Seymour, K., Vadhiyar, S.: NetSolve: past, present, and future; a look at a grid enabled server (2002)

    Google Scholar 

  4. Arnold, D.C., Casanova, H., Dongarra, J.: Innovations of the NetSolve grid computing system (2002)

    Google Scholar 

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

  6. Goldberg, D.E.: Genetic algortihms in search, optimisation and machine learning (1989)

    Google Scholar 

  7. von Laszewski, G., Foster, I., Gawor, J., Lane, P., Rehn, N., Russell, M.: Designing Grid-based Problem Solving Envionments and Portals Argonne National Laboratory, Argonne, IL 60439

    Google Scholar 

  8. Giannakoglou, K.C.: Design of optimal aerodynamic shapes using optimization methods and computational intelligence. Process in Aerospace Sciences 38, 43–76 (2002)

    Article  Google Scholar 

  9. Ho, Q.T., Ong, Y.S., Cai, W.T.: Gridifying aerodynamic design problem using GridRPC. In: Li, M., Sun, X.-H., Deng, Q.-n., Ni, J. (eds.) GCC 2003. LNCS, vol. 3032, pp. 83–90. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  10. Nakada, H., Matsuoka, S., Seymour, K., Dongarra, J., Lee, C., Casanova, H.: GridRPC: A remote procedure call API for grid computing. In: Parashar, M. (ed.) GRID 2002. LNCS, vol. 2536, pp. 274–278. Springer, Heidelberg (2002)

    Chapter  Google Scholar 

  11. GGF (2004), http://www.ggf.org/

  12. Fitzgerald, S., Foster, I., Kesselman, G., Laszewski, V., Smith, W., Tuecke, S.: A directory service for configuring high-performance distributed computations. In: Proceedings 6th IEEE Symposium on High-Performance Distributed Computing, pp. 365–375 (1997)

    Google Scholar 

  13. http://sourge.ganglia.net (2004)

  14. The Globus GSI (2004), http://www-unix.globus.org/security/

  15. GridFTP (2004), http://www.globus.org/datagrid/gridftp.html

  16. The Globus Resource Allocation Manager (GRAM) (2004), http://www-unix.globus.org/developer/resource-management.html

  17. Global access to secondary storage (GASS) (2004) http://www.globus.org/gass/

  18. Nanyang Campus Grid (2004), http://www.ntu-cg.ntu.edu.sg

Download references

Author information

Authors and Affiliations

  1. School of Computer Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore

    Hee-Khiang Ng, Yew-Soon Ong & Bu-Sung Lee

  2. Institute of High Performance Computing, Singapore Science Park II, 117528, Singapore

    Terence Hung

Authors
  1. Hee-Khiang Ng
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yew-Soon Ong
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Terence Hung
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Bu-Sung Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Faculty of Sciences, Section of Computational Science, University of Amsterdam, Kruislaan 403, 1098, Amsterdam, SJ, The Netherlands

    Peter M. A. Sloot

  2. Section Computational Science, University of Amsterdam, The Netherlands

    Alfons G. Hoekstra

  3. INRIA Rennes - Bretagne Atlantique, Campus de Beaulieu, 35042, Rennes Cedex, France

    Thierry Priol

  4. Zuse Institute Berlin,  

    Alexander Reinefeld

  5. Institute of Computer Science, AGH, Poland

    Marian Bubak

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ng, HK., Ong, YS., Hung, T., Lee, BS. (2005). Grid Enabled Optimization. In: Sloot, P.M.A., Hoekstra, A.G., Priol, T., Reinefeld, A., Bubak, M. (eds) Advances in Grid Computing - EGC 2005. EGC 2005. Lecture Notes in Computer Science, vol 3470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11508380_31

Download citation

  • DOI: https://doi.org/10.1007/11508380_31

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26918-2

  • Online ISBN: 978-3-540-32036-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation