Skip to main content

SORMA – Building an Open Grid Market for Grid Resource Allocation

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4685))

Abstract

The demand for computing and storage resources in a Grid network increases in both academic and industrial application domains. Participants in a network (i.e. companies or research institutes) try to selfishly maximize their individual benefit from participating in the Grid. Setting the right incentives for suppliers and requesters for an efficient usage of the limited Grid resources will motivate the participants to cooperate and provide their idle resources. In this paper we present an economic approach for efficient resource allocation. A market mechanism called Decentralized Local Greedy Mechanism [2] satisfies desirable economic properties and thus is deemed promising to enable an efficient allocation of Grid resources.

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   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
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. Graham, R.L., Lawler, E.L., Lenstra, J.K., Kan, A.H.G.R.: Optimization and approximation in deterministic sequencing and scheduling theory: a survey. Annals of Discrete Mathematics 5, 287–326 (1979)

    Article  MATH  MathSciNet  Google Scholar 

  2. Heydenreich, B., Müller, R., Uetz, M.: Decentralization and Mechanism Design for Online Machine Scheduling. In: Arge, L., Freivalds, R. (eds.) SWAT 2006. LNCS, vol. 4059, pp. 136–147. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  3. Hurwicz, L.: The Design of Mechanisms for Resource Allocation. American Economic Review 63(2), 1–30 (1973)

    Google Scholar 

  4. Kee, Y.S., Casanova, H., Chien, A.A.: Realistic Modeling and Svnthesis of Resources for Computational Grids. In: SC 2004. Proceedings of the ACM/IEEE SC2004 Conference, vol. 00 (2004)

    Google Scholar 

  5. Roth, A.E.: The Economist as Engineer: Game Theory, Experimentation, and Computation as Tools for Design Economics. Econometrica 70(4), 1341–1378 (2002)

    Article  MATH  Google Scholar 

  6. Chun, B.N., Culler, D.E.: Market-based proportional resource sharing for clusters. Technical report, Berkeley, CA (2000)

    Google Scholar 

  7. Schnizler, B., Neumann, D., Veit, D., Weinhardt, C.: Trading grid services - a multi-attribute combinatorial approach. European Journal of Operational Research (forthcoming)

    Google Scholar 

  8. AuYoung, A., Chun, B., Snoeren, A., Vahdat, A.: Resource allocation in federated distributed computing infrastructures. In: Proceedings of the 1st Workshop on Operating System and Architectural Support for the Ondemand IT InfraStructure (October 2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Daniel J. Veit Jörn Altmann

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Neumann, D., Stoesser, J., Anandasivam, A., Borissov, N. (2007). SORMA – Building an Open Grid Market for Grid Resource Allocation. In: Veit, D.J., Altmann, J. (eds) Grid Economics and Business Models. GECON 2007. Lecture Notes in Computer Science, vol 4685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74430-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-74430-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-74428-3

  • Online ISBN: 978-3-540-74430-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics