Architectural Models for Resource Management in the Grid

  • Rajkumar Buyya
  • Steve Chapin
  • David DiNucci
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1971)


The concept of coupling geographically distributed (high-end) resources for solving large-scale problems is becoming increasingly popular, forming what is popularly called grid computing. The management of resources in the grid environment becomes complex as they are (geographically) distributed, heterogeneous in nature, owned by different individuals/organizations each having their own resource management policies and different access-and-cost models. In this scenario, a number of alternatives exist while creating a framework for grid resource management. In this paper, we discuss the three alternative models-hierarchical, abstract owner, and market-for grid resource management architectures. The hierarchical model exhibits the approach followed in (many) contemporary grid systems. The abstract owner model follows an order and delivery approach in job submission and result gathering. The (computational) market model captures the essentials of both hierarchical and abstract owner models and proposes the use of computational economy in the development of grid resource management systems.


Architectural Model Grid Resource Resource Discovery Resource Management System Computational Economy 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Ian Foster and Carl Kesselman (editors), The Grid: Blueprint for a Future ComputingInfrastructure, Morgan Kaufmann Publishers, USA, 1999.Google Scholar
  2. 2.
    Mark Baker, Rajkumar Buyya, Domenico Laforenza, The Grid: International Efforts inGlobal Computing, Intl. Conference on Advances in Infrastructure for ElectronicBusiness, Science, and Education on the Internet, Italy, 2000.Google Scholar
  3. 3.
    Rajkumar Buyya, David Abramson and Jon Giddy, Nimrod/G: An Architecture for aResource Management and Scheduling System in a Global Computational Grid, 4th Intl.Conf. on High Performance Computing in Asia-Pacific Region (HPC Asia 2000), China.Google Scholar
  4. 4.
    Rajkumar Buyya, David Abramson and Jon Giddy, Economy Driven ResourceManagement Architecture for Computational Power Grids, Intl. Conf. on Parallel andDistributed Processing Techniques and Applications (PDPTA 2000), USA.Google Scholar
  5. 5.
    Rajkumar Buyya, Grid Computing Info Centre:
  6. 7.
    Ian Foster and Carl Kesselman, Globus: A Metacomputing Infrastructure Toolkit, International Journal of Supercomputer Applications, 11(2): 115–128, 1997.Google Scholar
  7. 8.
    Jack Dongarra, An Overview of Computational Grids and Survey of a Few ResearchProjects, Symposium on Global Information Processing Technology, Japan, 1999.Google Scholar
  8. 9.
    Steve Chapin, John Karpovich, Andrew Grimshaw, The Legion Resource ManagementSystem, 5th Workshop on Job Scheduling Strategies for Parallel Processing, April 1999.Google Scholar
  9. 10.
    Henri Casanova and Jack Dongarra, NetSolve: A Network Server for SolvingComputational Science Problems, Intl. Journal of Supercomputing Applications andHigh Performance Computing, Vol. 11, No. 3, 1997.Google Scholar
  10. 11.
    Fran Berman and Rich Wolski, The AppleS Project: A Status Report, 8th NEC ResearchSymposium, Berlin, Germany, May 1997.
  11. 12.
    Jim Basney and Miron Livny, Deploying a High Throughput Computing Cluster, HighPerformance Cluster Computing, Prentice Hall, 1999.
  12. 15.
    Hidemoto Nakada, Mitsuhisa Sato, Satoshi Sekiguchi, Design and Implementations ofNinf: towards a Global Computing Infrastructure, FGCS Journal, October 1999.Google Scholar
  13. 16.
    Spyros Lalis and Alexandros Karipidis, JaWS: An Open Market-Based Framework forDistributed Computing over the Internet, IEEE/ACM International Workshop on GridComputing (GRID 2000), Dec. 2000.
  14. 17.
    Michael Stonebraker, Robert Devine, Marcel Kornacker, Witold Litwin, Avi Pfeffer, Adam Sah, Carl Staelin, An Economic Paradigm for Query Processing and Data Migrationin Mariposa, 3rd International Conference on Parallel and Distributed InformationSystems, Sept. 1994.
  15. 18.
    Amnon Barak and Oren Laadan, The MOSIX Multicomputer Operating System for HighPerformance Cluster Computing, FGCS Journal, March 1998.
  16. 19.
    Bill Thigpen and Tom Hacker, Distributed Accounting on the Grid, The Grid ForumWorking Drafts, 2000.Google Scholar
  17. 21.
    Steve Chapin, Mark Clement, and Quinn Snell, A Grid Resource ManagementArchitecture, Strawman 1, Grid Forum Scheduling Working Group, November 1999.Google Scholar
  18. 23.
    W. Wayt Gibbs, Cyber View-World Wide Widgets, Scientific American, San Francisco,USA-

Copyright information

© Springer-Verlag Berlin Heidelberg 2000

Authors and Affiliations

  • Rajkumar Buyya
    • 1
  • Steve Chapin
    • 2
  • David DiNucci
    • 3
  1. 1.School of Computer Science and Software Engineering Monash UniversityMelbourneAustralia
  2. 2.Dept. of Electrical Engineering and Computer ScienceSyracuse UniversityUSA
  3. 3.Elepar 14380 N W Hunters Dr.BeavertonOregonUSA

Personalised recommendations