Skip to main content

Dynamic Multi Dimensional Matchmaking Model for Resource Allocation in Grid Environment

  • Conference paper
  • 1581 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 204))

Abstract

Resource allocation and management in the Grid environment is a complex undertaking as resources are distributed and heterogeneous in nature. Optimally assigning jobs to resources is one of the key issues in Grid environment. This work introduces a new Multi Dimensional Matchmaking Framework for resource allocation on computational grids. Making the environment intelligent and monitoring the dynamic behavior of resources gives accurate prediction of resource allocation. The dynamic dimensional based resource allocation enhances the overall performance of services.

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Imamagic, E., Radic, B., Dobrenic, D.: An Approach to Grid Scheduling By Using Condor-G Matchmaking Mechanism. Journal of Computing and Information Technology - CIT 14(4), 329–336 (2006), doi:10.2498/cit.2006.04.09.

    Article  Google Scholar 

  2. Bai, X., Yu, H., Ji, Y., Marinescu, D.C.: Resource Matching and a Matchmaking Service for an Intelligent Grid. World Academy of Science, Engineering and Technology 1 (2005)

    Google Scholar 

  3. Liu, Y., He, H.: Grid Resource Discovery Approach Based on Matchmaking Engine Overlay. In: Third International Conference on Semantics, Knowledge and Grid

    Google Scholar 

  4. Vijay, C., Naik, L.K., Liu, C., Wagner, J.: On-line ResourceMatching for Heterogeneous Grid Environments. In: IEEE International Symposium on Cluster Computing and the Grid (2005)

    Google Scholar 

  5. Li, F., Qi, D.: Research on Grid Resource Allocation Algorithm Based on Fuzzy Clustering. In: Second International Conference on Future Generation Communication and Networking (2008)

    Google Scholar 

  6. Clematis, A., Corana, A., D’Agostino, D., Galizia, A., Quarati, A.: Job_resource matchmaking on Grid through two-level benchmarking. Future Generation Computer Systems (June 2010)

    Google Scholar 

  7. Shu, G., Rana, O.F., Avis, N.J., Chen, D.: Ontology-based semantic matchmaking approach. Advances in Engineering Software 38, 59–67 (2007)

    Article  Google Scholar 

  8. Han_, W., Shi, X., Chen, R.: Process-context aware matchmaking or web service composition. Journal of Network and Computer Applications 31, 559–576 (2008)

    Article  Google Scholar 

  9. Wanga, C.-M., Chenb, H.-M., Hsuc, C.C., Lee, J.: Dynamic resource selection heuristics for a non-reserved bidding-based Grid Environment. Future Generation Computer Systems 26, 183–197 (2010)

    Article  Google Scholar 

  10. Grigori, D., Corrales, J.C., Bouzeghoub, M.: Behavioral matchmaking for service retrieval: Application to conversation protocols. Information Systems 33, 681–698 (2008)

    Article  Google Scholar 

  11. Asaduzzaman, S., Maheswara, M.: Utilizing unreliable public resources for higher profit and better SLA Compliance in computing utilities. J. Parallel Distrib. Computing 66, 796–806 (2006)

    Article  MATH  Google Scholar 

  12. de Assunção, M.D., Buyya, R.: Performance analysis of allocation policies for intergrid resource provisioning. Information and Software Technology 51, 42–55 (2009)

    Article  Google Scholar 

  13. Yu, H., Bai, X., Marinescu, D.C.: Workflow management and resource Discovery for an intelligent grid. Parallel Computing 31, 797–811 (2005)

    Article  Google Scholar 

  14. Foster, I., Kesselman, C.: The GRID 2: Blueprint For a New Computer Infrastructure. Elsevier, Amsterdam (2005)

    Google Scholar 

  15. Liu, S.: User-Centric Resource Allocation Hierarchy in Grid Computing. In: The Sixth International Conference on Grid and Cooperative Computing, GCC 2007 (2007)

    Google Scholar 

  16. Altunay, M., Brown, D., Byrd, G., Dean, R.A.: Evaluation of Mutual Trust during Matchmaking. In: Proceedings of the Fifth IEEE International Conference on Peer-to-Peer Computing, P2P 2005 (2005)

    Google Scholar 

  17. Li, H., Buyya, R.: Model-based simulation and performance evaluation of grid scheduling strategies. Future Generation Computer Systems 25, 460–465 (2009)

    Article  Google Scholar 

  18. Comito, C., Gounaris, A., Sakellariou, R., Talia, D.: A service-oriented system for distributed data querying and integration on Grids. Future Generation Computer Systems, doi:10.1016/j.future.2008.11.009.

    Google Scholar 

  19. Kosar, T., Balman, M.: A new paradigm: Data-aware scheduling in grid computing. Future Generation Computer Systems 25, 406–413 (2009)

    Article  Google Scholar 

  20. Korkhova, V.V., Moscicki, J.T., Krzhizhanovskaya, V.V.: Dynamic workload balancing of parallel applications with user-level scheduling on the Grid. Future Generation Computer Systems 25, 28–34 (2009)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Jacob, J., Rajsingh, E.B., Jesudasan, I.B. (2011). Dynamic Multi Dimensional Matchmaking Model for Resource Allocation in Grid Environment. In: Nagamalai, D., Renault, E., Dhanuskodi, M. (eds) Trends in Computer Science, Engineering and Information Technology. CCSEIT 2011. Communications in Computer and Information Science, vol 204. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24043-0_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-24043-0_19

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24042-3

  • Online ISBN: 978-3-642-24043-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics