Skip to main content
SpringerLink
Log in

An Automatic Resource Selection Scheme for Grid Computing Systems

  • Conference paper
Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3480))

Included in the following conference series:

Abstract

Our grid system META allows CFD users to access computing resources across the network [1]. There are many research issues involved in the grid computing, including fault-tolerance issues, computing resource selection issues, and user-interface design issues. In this paper, we propose an automatic resource selection scheme for executing the parallel SPMD application written in MPI. META uses the network latency time and the speed of the test-run of the kernel loop for the efficient management of resources. The network latency time highly influences the performance of the CFD application on the grid environment. The kernel loop is a loop which consumes the most of the computation time of a CFD program.

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 139.00
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. Kang, K.W., Woo, G.: A Resource Selection Scheme for Grid Computing System META. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds.) GCC 2004. LNCS, vol. 3251, pp. 919–922. Springer, Heidelberg (2004)

    Google Scholar 

  2. Sunderam, V.S.: PVM: A framework for parallel distributed computing. Concurrency: Practice and Experience 2, 315–340 (1990)

    Article  Google Scholar 

  3. Foster, I., Kesselman, C.: Globus: A metacomputing infrastructure toolkit. Intl. J. Supercomputer Applications 11, 115–128 (1997)

    Article  Google Scholar 

  4. Foster, I., Kesselman, C.: The Grid: Blueprint for a new Computing Infrastructure. Morgan Kaufmann Publishers, Inc., San Francisco (1998)

    Google Scholar 

  5. Czajkowski, K., Fitzgerald, S., Foster, I., Kesselman, C.: Grid Information Services for Distributed Resource Sharing. In: Proceedings of the Tenth IEEE International Symposium on High-Performance Distributed Computing (HPDC-10), pp. 181–184. IEEE Press, Los Alamitos (2001)

    Chapter  Google Scholar 

  6. Hoffmann, K.A.: Computational Fluid Dynamics for Engineers. Morgan Kaufmann Publishers, Inc., San Francisco (1993)

    Google Scholar 

  7. Yang, X., Hayes, M.: Application of Grid techniques in the CFD field. Integrating CFD and Experiments in Aerodynamics, Glasgow, UK (2003)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Computer and Communication Engineering, Cheonan University, 115, Anseo-dong, Cheonan, 330-704, Choongnam, Republic of Korea

    Kyung-Woo Kang

  2. Department of Computer Science and Engineering, Pusan National University, Busan, 609-735, Republic of Korea

    Gyun Woo

Authors
  1. Kyung-Woo Kang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Gyun Woo
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W, T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, P.O. Box, I-06123, Perugia, Italy

    Antonio Laganà

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, P.O. Box, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Kang, KW., Woo, G. (2005). An Automatic Resource Selection Scheme for Grid Computing Systems. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3480. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424758_4

Download citation

  • DOI: https://doi.org/10.1007/11424758_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25860-5

  • Online ISBN: 978-3-540-32043-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation