Advertisement

R-GMA: An Information Integration System for Grid Monitoring

  • Andy Cooke
  • Alasdair J. G. Gray
  • Lisha Ma
  • Werner Nutt
  • James Magowan
  • Manfred Oevers
  • Paul Taylor
  • Rob Byrom
  • Laurence Field
  • Steve Hicks
  • Jason Leake
  • Manish Soni
  • Antony Wilson
  • Roney Cordenonsi
  • Linda Cornwall
  • Abdeslem Djaoui
  • Steve Fisher
  • Norbert Podhorszki
  • Brian Coghlan
  • Stuart Kenny
  • David O’Callaghan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2888)

Abstract

Computational Grids are distributed systems that provide access to computational resources in a transparent fashion. Collecting and providing information about the status of the Grid itself is called Grid monitoring.

We describe R-GMA (Relational Grid Monitoring Architecture) as a solution to the Grid monitoring problem. It uses a local as view approach to information integration and will be a component of the European Union’s DataGrid.

The R-GMA architecture and mechanisms are general and could be used in other areas where there is a need for publishing and querying information in a distributed fashion.

Keywords

Computational Grid Global Schema Stream Producer Query Plan Resource Broker 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    The DataGrid Project (June 2003), http://www.eu-datagrid.org
  2. 2.
    DataGrid WP3 Information and Monitoring Services (June 2003), http://hepunx.rl.ac.uk/edg/wp3/
  3. 3.
    Global grid forum (June 2003), http://www.ggf.org
  4. 4.
    High energy nuclear physics intergrid collaboration board (June 2003), http://hicb.org/
  5. 5.
    Babcock, B., Babu, S., Datar, M., Motwani, R., Widom, J.: Models and issues in data stream systems. In: PODS-21, pp. 1–16 (2002)Google Scholar
  6. 6.
    Berman, F.: From TeraGrid to Knowledge Grid. Communications of the ACM 44(11), 27–28 (2001)CrossRefGoogle Scholar
  7. 7.
    Carney, D., Cetintemel, U., Cherniack, M., Convey, C., Lee, S., Seidman, G., Stonebraker, M., Tatbul, N., Zdonik, S.: Monitoring streams—a new class of data management applications. In: VLDB-28, pp. 215–226 (2002)Google Scholar
  8. 8.
    Czajkowski, K., Fitzgerald, S., Foster, I., Kesselman, C.: Grid information services for distributed resource sharing. In: HPDC-10 (2001)Google Scholar
  9. 9.
    Dutka, L., Kitowski, J.: Application of component-expert technology for selection of data-handlers in CrossGrid. In: Kranzlmüller, D., Kacsuk, P., Dongarra, J., Volkert, J. (eds.) PVM/MPI 2002. LNCS, vol. 2474, pp. 25–32. Springer, Heidelberg (2002)CrossRefGoogle Scholar
  10. 10.
    Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure. Computational Grids, ch. 2, pp. 15–51. Morgan Kaufmann, San Francisco (1999)Google Scholar
  11. 11.
    Foster, I., Kesselman, C., Tuecke, S.: The anatomy of the Grid: Enabling scalable virtual organization. The International Journal of High Performance Computing Applications 15(3), 200–222 (2001)CrossRefGoogle Scholar
  12. 12.
    Globus Toolkit (June 2003), http://www.globus.org
  13. 13.
    Johnston, W.E., Gannon, D., Nitzberg, B.: Grids as production computing environments: the engineering aspects of NASA’s Information Power Grid. In: HPDC-11, pp. 197–204. IEEE, Los Alamitos (1999)Google Scholar
  14. 14.
    Plale, B., Dinda, P., von Laszewski, G.: Key concepts and services of a Grid information service. In: ICSA PDCS-15 (2002)Google Scholar
  15. 15.
    Ribler, R.L., Vetter, J.S., Simitci, H., Reed, D.A.: Autopilot: adaptive control of distributed applications. In: HPDC-7, pp. 172–179 (1998)Google Scholar
  16. 16.
    Shahabi, C.: AIMS: an Immersidata management system. In: CIDR-2003 (2003)Google Scholar
  17. 17.
    Smith, W.: A system for monitoring and management of computational Grids. In: ICPP-31, p. 55 (2002)Google Scholar
  18. 18.
    Sullivan, M.: Tribeca: A stream database manager for network traffic analysis. In: VLDB-22, p. 594 (1996)Google Scholar
  19. 19.
    Tierney, B., Aydt, R., Gunter, D., Smith, W., Swany, M., Taylor, V., Wolski, R.: A Grid monitoring architecture. Global Grid Forum Performance Working Group (March 2000) (Revised January 2002)Google Scholar
  20. 20.
    Ullman, J.D.: Information integration using logical views. In: Afrati, F.N., Kolaitis, P.G. (eds.) ICDT 1997. LNCS, vol. 1186, pp. 19–40. Springer, Heidelberg (1997)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Andy Cooke
    • 1
  • Alasdair J. G. Gray
    • 1
  • Lisha Ma
    • 1
  • Werner Nutt
    • 1
  • James Magowan
    • 2
  • Manfred Oevers
    • 2
  • Paul Taylor
    • 2
  • Rob Byrom
    • 3
  • Laurence Field
    • 3
  • Steve Hicks
    • 3
  • Jason Leake
    • 3
  • Manish Soni
    • 3
  • Antony Wilson
    • 3
  • Roney Cordenonsi
    • 4
  • Linda Cornwall
    • 5
  • Abdeslem Djaoui
    • 5
  • Steve Fisher
    • 5
  • Norbert Podhorszki
    • 6
  • Brian Coghlan
    • 7
  • Stuart Kenny
    • 7
  • David O’Callaghan
    • 7
  1. 1.Heriot-Watt UniversityEdinburghUK
  2. 2.IBMUK
  3. 3.PPARCUK
  4. 4.Queen Mary, University of LondonUK
  5. 5.Rutherford Appleton LaboratoryUK
  6. 6.SZTAKIHungary
  7. 7.Trinity CollegeDublinIreland

Personalised recommendations