Grid-enabling data mining applications with DataMiningGrid: An architectural perspective

  • Authors:
  • Vlado Stankovski;Martin Swain;Valentin Kravtsov;Thomas Niessen;Dennis Wegener;Jörg Kindermann;Werner Dubitzky

  • Affiliations:
  • University of Ljubljana, Jamova cesta 002, SI-1000 Ljubljana, Slovenia;University of Ulster, Cromore Road, Coleraine BT52 1SA, Northern Ireland, United Kingdom;Technion-Israel Institute of Technology, Technion City, 32000 Haifa, Israel;Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, D-53754 Sankt Augustin, Germany;Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, D-53754 Sankt Augustin, Germany;Fraunhofer Institute for Intelligent Analysis and Information Systems IAIS, D-53754 Sankt Augustin, Germany;University of Ulster, Cromore Road, Coleraine BT52 1SA, Northern Ireland, United Kingdom

  • Venue:
  • Future Generation Computer Systems
  • Year:
  • 2008

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Abstract

The DataMiningGrid system has been designed to meet the requirements of modern and distributed data mining scenarios. Based on the Globus Toolkit and other open technology and standards, the DataMiningGrid system provides tools and services facilitating the grid-enabling of data mining applications without any intervention on the application side. Critical features of the system include flexibility, extensibility, scalability, efficiency, conceptual simplicity and ease of use. The system has been developed and evaluated on the basis of a diverse set of use cases from different sectors in science and technology. The DataMiningGrid software is freely available under Apache License 2.0.