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E-service delivery pattern for grid based data mining services

Published:14 August 2007Publication History

ABSTRACT

The emergence of ASP hosting Grid based data mining services is being seen as a novel and feasible solution for organizations that value their knowledge resources but are constrained by the high cost of knowledge discover tools. In this paper, we present a novel E-service delivery pattern for the Grid based data mining services. This pattern has several strong suits than the present methods for delivering data mining services such as supporting clients with many kinds of choices, especially the choice of the ASP. We have developed tools to support the E-service delivery pattern. The detailed information is including: the preferences of tasks, the functionality of ASP and the information of data resource and computation resources to run the application. We have realized the map function to match the requirement of client, the capability of resource and ASP.

References

  1. I. Foster and C. Kasselman, The Grid: blueprint for a future infrastructure. Morgan Kaufman, 1999. Google ScholarGoogle ScholarDigital LibraryDigital Library
  2. D. Talia and M. Cannataro, Knowledge grid: An architecture for distributed knowledge discovery, Communications of the ACM, 2002.Google ScholarGoogle Scholar
  3. A. Chervenak, I. Foster, C. Kesselman, C. Salisbury, and S. Tuecke, The Data Grid: towards an architecture for the distributed management and analysis of large scientific datasets. J. of Network and Comp. Appl., (23):187--200, 2001.Google ScholarGoogle Scholar
  4. M. Cannataro, P. K. Srimani and D. Talia, Parallel Data Intensive Computing in Scientific and Commercial Applications, Parallel Computing, Vol. 28, No. 5, pp. 673--704, May 2002. Google ScholarGoogle ScholarDigital LibraryDigital Library
  5. Clark-Dickson, P., "Flag-fall for Application Rental", Systems, (August), pp. 23--31, 1999.Google ScholarGoogle Scholar
  6. www.digimine.comGoogle ScholarGoogle Scholar
  7. http://www.kineticnetworks.com/Google ScholarGoogle Scholar
  8. http://www.webminer.com/Google ScholarGoogle Scholar

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  1. E-service delivery pattern for grid based data mining services

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    • Published in

      cover image ACM Other conferences
      AIGC '07: First International Workshop on Artificial Intelligence in Grid Computing
      August 2007
      42 pages
      ISBN:9781595937599
      DOI:10.1145/1577389

      Copyright © 2007 ACM

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 14 August 2007

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