Resource Allocation Based on Pricing for Grid Computing Environments

  • Jiadi Yu
  • Minglu Li
  • Feng Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3759)


Grid computing has been widely accepted as a promising paradigm for large-scale distributed systems in recent years. Mechanism based on economic models is an effective approach to solve the problem of grid resources management. The essence of this problem is how to allocate resources for achieving the goal of a highly efficient utilization of resources in response to current resource prices. In this paper, we present a method of resource allocation based on the pricing, and discuss the process of resource allocation and resource pricing algorithms for allocating resources to grid users in order to maximize the benefit for both grid providers and grid users.


Resource Allocation Grid Resource Grid Environment Resource Provider Resource Allocation Algorithm 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    Foster, I., Kesselman, C. (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufmann, San Francisco (1999)Google Scholar
  2. 2.
    Foster, I., Kesselman, C., Tuecke, S.: The Anatomy of the Grid: Enabling Scalable Virtual Organizations. International Journal of High Performance Computing Application 15(3), 200–222 (2001)CrossRefGoogle Scholar
  3. 3.
    Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems IntegrationGoogle Scholar
  4. 4.
    Cao, H., Xiao, N., Lu, X., Liu, Y.: A Market-based Approach to Allocate Resources for Computational Grids. Computer Research and Development (Chinese) 39(8), 913–916 (2002)Google Scholar
  5. 5.
    Wolski, R., Plank, J., Brevik, J., Bryan, T.: Analyzing Market-based Resource Allocation Strategies for the ComputationalGrid. International Journal of High-performance Computing Applications, Sage Publications 15(3), 258–281 (2001)CrossRefGoogle Scholar
  6. 6.
    Subramoniam, K., Maheswaran, M., Toulouse, M.: Towards a Micro-Economic Model for Resource Allocation in Grid Computing System. In: Proceedings of the 2002 IEEE Canadian Conference on Electrical and Computer Engineering, pp. 782–785 (2002)Google Scholar
  7. 7.
    Buyya, R.: Economic-based Distributed Resource Management and Scheduling for Grid Computing. PhD Thesis, Monash University, Melbourne, Australia, April 12 (2002), Online at,
  8. 8.
    Buyya, R., Abramson, D., Giddy, J.: An Economy Driven Resource Management Architecture for Global Computational Power Grids. In: The 7th International Conference on Parallel and Distributed Processing Techniques and Applications (PDPTA 2000), Las Vegas, USA, June 26-29 (2000)Google Scholar
  9. 9.
    Buyya, R., Abramson, D., Giddy, J.: A Case for Economy Grid Architecture for Service Oriented Grid Computing. In: Proceedings of International Parallel and Distributed Processing Symposium: Heterogeneous Computing Workshop (HCW 2001), San Francisco, USA (2001)Google Scholar
  10. 10.
    Weng, C., Lu, X.-d., Deng, Q.-n.: A distributed approach for resource pricing in grid environments. In: Li, M., Sun, X.-H., Deng, Q.-n., Ni, J. (eds.) GCC 2003. LNCS, vol. 3033, pp. 620–627. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  11. 11.
    Yu, J., Li, M., Li, Y., Feng, H.: A framework for price-based resource allocation on the grid. In: Liew, K.-M., Shen, H., See, S., Cai, W. (eds.) PDCAT 2004. LNCS, vol. 3320, pp. 341–344. Springer, Heidelberg (2004)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Jiadi Yu
    • 1
  • Minglu Li
    • 1
  • Feng Hong
    • 1
  1. 1.Department of Computer Science and EngineeringShanghai Jiao Tong UniversityShanghaiP.R. China

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