Skip to main content

The Multi-dimensional QoS Resources Optimization Based on the Grid Banking Model

  • Conference paper
High Performance Computing and Applications

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5938))

Abstract

Grid is to provide exceptional service quality. But the quality of service (QoS) in grid cannot be guaranteed because of the complexity and diversity of grid environments. QoS parameters should be described for solving the QoS issues in grid. At present, a lot of works have been done on resources optimization on the grid, but less on the optimization of multi-dimensional QoS and the analysis of the multi-dimensional QoS optimization of resources. In this paper, we put forward a QoS-based grid banking model based on the idea of stratification. It is divided into the application-layer, the virtual organization layer, and the physical resources and facilities layer. At each layer, the consumer agent, service agent, and resource provider agent optimize the multi-dimensional QoS resources. The optimization is done within the framework of the grid banking model and the hierarchical constraints in their respective conditions so that it can maximize the utility function. The optimization algorithm at all levels has been presented. It uses the principle of market economy about the price of constant iteration and the interaction among all levels to carry out the Service Level Agreement.

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.

Similar content being viewed by others

References

  1. Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure (1999)

    Google Scholar 

  2. http://www.ietf.org/html.charters/OLD/intserv-charter.html

  3. http://www.ietf.org/html.charters/OLD/diffserv-charter.html

  4. Foster, I., Roy, A., Sander, V.: A Quality of Service Architecture that Combines Resource Reservation and Application Adaptation. In: Proceedings of the Eight International Workshop on Quality of Service, June 2000, pp. 181–188 (2000)

    Google Scholar 

  5. Al-Ali, R.J., Rana, O.F., Walker, D.W.: G-QoSM: Grid Service Discovery Using QoS Properties. Comput. Informatics J., Special Issue on Grid Computing 21, 363–382 (2002)

    MATH  Google Scholar 

  6. Buyya, R.: Economic-based distributed resource management and scheduling for Grid computing, in Thesis (2002)

    Google Scholar 

  7. Subramoniam, K., Maheswaran, M., Toulouse, M.: Towards a micro-economic model for resource allocation in Grid computing systems. In: Proceedings of the 2002 IEEE Canadian Conference on Electrical & Computer Engineering (2002)

    Google Scholar 

  8. Stuer, G., Vanmechelena, K., Broeckhovea, J.: A commodity market algorithm for pricing substitutable Grid resources. Future Generation Computer Systems 23, 688–701 (2007)

    Article  Google Scholar 

  9. Wolski, R., Plank, J.S., Brevik, J., et al.: Analyzing Market-based Resource Allocation Strategies for the Computational Grid. International Journal of High-performance Computing Applications 15 (2001)

    Google Scholar 

  10. Kenyon, C., Cheliotis, G.: Architecture Requirements for Commercializing Grid Resources. In: Proceeding of the 11th IEEE International Symposium on High Performance Distributed Computing (HPDC), pp. 215–224 (2002)

    Google Scholar 

  11. Li, H., Zhong, Y., Lu, J., Zhang, X., Yao, S.: A Banking Based Grid Recourse Allocation Scheduling. In: GPC Workshops, pp. 239–244 (2008)

    Google Scholar 

  12. Chatterjee, B.S.S., Sydir, M.D.J.J., Lawrence, T.F.: Taxonomy for QoS specifications. In: Proc.of the 3rd Intel Workshop on Object-oriented Real-Time DependableSystems, pp. 100–107 (1997)

    Google Scholar 

  13. Chunlin, L., Layuan, L.: QoS based resource scheduling by computational economy in computational grid. Information Processing Letters 98, 119–126 (2006)

    Article  MATH  MathSciNet  Google Scholar 

  14. Chunlin, L., Layuan, L.: A distributed multiple dimensional QoS constrained. Journal of Computer and System Sciences, 706–726 (2006)

    Google Scholar 

  15. Chunlin, L., Layuan, L.: Cross-layer optimization policy for QoS scheduling in computational grid. Journal of Network and Computer Applications 31, 258–284 (2008)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Tang, G., Li, H., Yao, S. (2010). The Multi-dimensional QoS Resources Optimization Based on the Grid Banking Model. In: Zhang, W., Chen, Z., Douglas, C.C., Tong, W. (eds) High Performance Computing and Applications. Lecture Notes in Computer Science, vol 5938. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11842-5_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-11842-5_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-11841-8

  • Online ISBN: 978-3-642-11842-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics