A Metadata Model and Information System for the Management of Resources in a Grid-Based PSE Toolkit

  • Carmela Comito
  • Carlo Mastroianni
  • Domenico Talia
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3726)


A PSE toolkit is a group of technologies within a software architecture through which multiple PSEs can be built for different application domains. This paper presents a metadata model for Grid-based PSE toolkits and the architecture of an information system based on the proposed metadata model. These two components contribute to define a general model of metadata management for supporting the design and implementation of problem solving environments on Grid.


Grid Service Index Service Resource Category Metadata Model Open Grid Service Architecture 
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.
    Aktas, M.S., Pierce, M., Fox, G.F.: Designing Ontologies and Distributed Resource Discovery Services for an Earthquake Simulation Grid. In: Proc. of the GGF11 Semantic Grid Applications Workshop, Honolulu, USA, pp. 1–6 (2004)Google Scholar
  2. 2.
    Cannataro, M., Comito, C., Congiusta, A., Folino, G., Mastroianni, C., Pugliese, A., Spezzano, G., Talia, D., Veltri, P.: A general architecture for grid-based PSE toolkits. In: Dongarra, J., Madsen, K., Waśniewski, J. (eds.) PARA 2004. LNCS, vol. 3732, pp. 656–664. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  3. 3.
    Curbera, F., Goland, Y., Klein, J., Leymann, F., Roller, D., Thatte, S., Weerawarana, S.: Business Process Execution Language for WS,
  4. 4.
    Deelman, E., Blythe, J., Gil, Y., Kesselman, C., Mehta, G., Vahi, K., Blackburn, K., Lazzarini, A., Arbree, A., Cavanaugh, R., Koranda, S.: Mapping Abstract Complex Workflows onto Grid Environments. Journal of Grid Computing 1(1), 25–39 (2003)CrossRefGoogle Scholar
  5. 5.
    Enright, A.J., Van Dongen, S., Ouzounis, C.A.: TribeMCL: An efficient algorithm for large scale detection of protein families,
  6. 6.
    Foster, I., Kesselman, C., Nick, J., Tuecke, S.: Grid services for distributed system integration. IEEE Computer 35(6), 37–46 (2002)Google Scholar
  7. 7.
    Foster, I., Kesselman, C., Nick, J., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration, Globus Project (2002),
  8. 8.
    Fox, G.: Data and Metadata on the Semantic Grid. Computing in Science and Engineering 5(5) (2003)Google Scholar
  9. 9.
    The Globus Alliance: The Globus Toolkit,
  10. 10.
    Houstis, E., Catlin, A., Dhanjani, N., Rice, J., Dongarra, J., Casanova, H., Arnold, D., Fox, G.: Problem-Solving environments. In: The Parallel Computing Sourcebook. M. Kaufmann Publishers, San Francisco (2002)Google Scholar
  11. 11.
    Mastroianni, C., Talia, D., Trunfio, P.: Managing Heterogeneous Resources in Data Mining Applications on Grids Using XML-Based Metadata. In: Proceedings IPDPS 2003. IEEE Computer Society Press, Los Alamitos (2003)Google Scholar
  12. 12.
    The MyGrid project,
  13. 13.
    The OGSA-DAI Project: Open Grid Services Architecture Data Access and Integration,
  14. 14.
    The OWL Services Coalition: OWL-S: Semantic Markup for Web Services,
  15. 15.
    The GGF Simple API for Grid Applications (SAGA) Working Group,
  16. 16.
    The Semantic Grid project,

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Carmela Comito
    • 1
  • Carlo Mastroianni
    • 2
  • Domenico Talia
    • 1
    • 2
  1. 1.DEISUniversity of CalabriaRendeItaly
  2. 2.ICAR-CNRRendeItaly

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