Grid Computing pp 250-259 | Cite as

Enabling Knowledge Discovery Services on Grids

  • Antonio Congiusta
  • Carlo Mastroianni
  • Andrea Pugliese
  • Domenico Talia
  • Paolo Trunfio
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3165)

Abstract

The Grid is mainly used today for supporting high-performance compute intensive applications. However, it is going to be effectively exploited for deploying data-driven and knowledge discovery applications. To support these classes of applications, high-level tools and services are vital. The Knowledge Grid is a high-level system for providing Grid-based knowledge discovery services. These services allow professionals and scientists to create and manage complex knowledge discovery applications composed as workflows that integrate data sets and mining tools provided as distributed services on a Grid. This paper presents and discusses how knowledge discovery applications can be designed and deployed on Grids. The contribution of novel technologies and models such as OGSA, P2P, and ontologies is also discussed.

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References

  1. 1.
    Foster, I., Kesselman, C., Nick, J.M., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration, technical report (2002), http://www.globus.org/research/papers/ogsa.pdf
  2. 2.
    Cannataro, M., Talia, D.: The Knowledge Grid. Communications of the ACM 46(1), 89–93 (2003)CrossRefGoogle Scholar
  3. 3.
    Berman, F.: From TeraGrid to Knowledge Grid. Communications of the ACM 44(11), 27–28 (2001)CrossRefGoogle Scholar
  4. 4.
    Cannataro, M., Congiusta, A., Talia, D., Trunfio, P.: A Data Mining Toolset for Distributed High-Performance Platforms. In: Proc. 3rd Int. Conference Data Mining 2002, September 2002, pp. 41–50. WIT Press, Bologna (2002)Google Scholar
  5. 5.
    Talia, D.: The Open Grid Services Architecture: Where the Grid Meets the Web. IEEE Internet Computing 6(6), 67–71 (2002)CrossRefGoogle Scholar
  6. 6.
    Cannataro, M., Comito, C.: A Data Mining Ontology for Grid Programming. In: Proc. 1st Int. Workshop on Semantics in Peer-to-Peer and Grid Computing, in conjunction with WWW 2003, Budapest (May 20-24, 2003)Google Scholar
  7. 7.
    Talia, D., Trunfio, P.: Toward a Sinergy Between P2P and Grids. IEEE Internet Computing 7(4), 96–99 (2003)CrossRefGoogle Scholar
  8. 8.
    Berman, F., Fox, G., Hey, A. (eds.): Grid computing: Making the Global Infrastructure a Reality. Wiley, Chichester (2003)Google Scholar
  9. 9.
    Kargupta, H., Chan, P. (eds.): Advances in Distributed and Parallel Knowledge Discovery. AAAI Press, Menlo Park (1999)Google Scholar
  10. 10.
    Ghanem, M., Guo, Y., Rowe, A., Wendel, P.: Grid-based Knowledge Discovery Services for High Throughput Informatics. In: Proc. 11th IEEE International Symposium on High Performance Distributed Computing, p. 416. IEEE CS Press, Los Alamitos (2002)CrossRefGoogle Scholar
  11. 11.
    Hinke, T., Novotny, J.: Data Mining on NASA’s Information Power Grid. In: Proc. Ninth IEEE International Symposium on High Performance Distributed Computing, pp. 292–293. IEEE CS Press, Los Alamitos (2000)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Antonio Congiusta
    • 1
  • Carlo Mastroianni
    • 2
  • Andrea Pugliese
    • 1
    • 2
  • Domenico Talia
    • 1
    • 2
  • Paolo Trunfio
    • 1
  1. 1.DEISUniversity of CalabriaRendeItaly
  2. 2.ICAR-CNRRendeItaly

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