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Development of a Grid-based Framework for High-Performance Scientific Knowledge Discovery

그리드 기반의 고성능 과학기술지식처리 프레임워크 개발

  • 정창후 (한국과학기술정보연구원 정보기술연구실) ;
  • 최성필 (한국과학기술정보연구원 정보기술연구실) ;
  • 윤화묵 (한국과학기술정보연구원 정보기술연구실) ;
  • 최윤수 (한국과학기술정보연구원 정보기술연구실)
  • Published : 2009.12.28

Abstract

In this paper, we propose the SINDI-Grid which is a high-performance framework for scientific and technological knowledge discovery using the grid computing. By using the advantages of the grid computing providing data repository of large-volume and high-speed computing power, the SINDI-Grid framework provides a variety of grid services for distributed data analysis and scientific knowledge processing. And the SINDI-Workflow tool exploits these services so that performs the design and execution for scientific and technological knowledge discovery applications which integrate various information processing algorithms.

Keywords

Knowledge Processing;WSRF;Workflow;Framework

References

  1. P. Brezany, I. Janciak, and A. M. Tjoa, "GridMiner: A Fundamental Infrastructure for Building Intelligent Grid Systems," The 2005 IEEE/WIC/ACM International Conference on Web Intelligence, pp.150-156, 2005. https://doi.org/10.1109/WI.2005.68
  2. C. Goble, C. Wroe, and R. Stevens, "The myGrid project: services, architecture and demonstrator," in All Hands Meeting, pp.595-603, 2003.
  3. S. Alsairafi, F. S. Emmanouil, M. Ghanem, N. Giannadakis, Y. Guo, D. Kalaitzopoulos, M. Osmond, A. Rowe, J. Syed, and P. Wendel, "The Design of Discovery Net: Towards Open Grid Services for Knowledge Discovery," International Journal of High Performance Computing Applications, Vol.17, No.3, pp.297-315, 2003. https://doi.org/10.1177/1094342003173003
  4. Nhien-An Le-Khac, Tahar Kechadi, and Joe Carthy, "ADMIRE Framework: Distributed Data Mining on Data Grid Platforms," Proceedings of 1st International Conference on Software and Data Technologies, pp.67-72, 2006.
  5. http://www.globus.org/ogsa
  6. http://www.globus.org/wsrf
  7. http://www.globus.org/toolkit
  8. D. Talia, P. Trunfio, and O. Verta, "The Weka4WS framework for distributed data mining in service-oriented Grids," Concurrency and computation : practice & experience, Vol.20, No.16, pp.1933-1951, 2008. https://doi.org/10.1002/cpe.1311
  9. A. Congiusta, D. Talia, and P. Trunfio, "Service-oriented middleware for distributed data mining on the grid," Journal of Parallel and Distributed Computing, Vol.68, No.1, pp.3-15, 2007. https://doi.org/10.1016/j.jpdc.2007.07.007
  10. D. Talia and P. Trunfio, "How Distributed Data Mining Tasks can Thrive as Services on Grids," In Proc. of National Science Foundation Symposium on Next Generation of Data Mining and Cyber-Enabled Discovery for Innovation, 2007.
  11. A. Congiusta, D. Talia, and P. Trunfio, "Distributed data mining services leveraging WSRF," Future Generation Computer Systems, Vol.23, pp.34-41, 2007. https://doi.org/10.1016/j.future.2006.04.005
  12. V. Stankovski, J. Trnkoczy, M. Swain, W. Dubitzky, V. Kravtsov, A. Schuster, T. Niessen, D. Wegener, M. May, M. Rohm, and J. Franke, "Digging Deep into the Data Mine with DataMiningGrid," IEEE Internet Computing, pp.69-76, 2008. https://doi.org/10.1109/MIC.2008.122
  13. S. P. Choi, S. H. Myaeng, and H. Y. Cho, "Guiding Practical Text Classification Framework to Optimal State in Multiple Domains," Transactions on Internet and Information Systems, Vol.3, No.3, pp.285-307, 2009. https://doi.org/10.3837/tiis.2009.03.005
  14. S. P. Choi, C. H. Jeong, Y. S. Choi, and S. H. Myaeng, "Relation Extraction based on Extended Composite Kernel using Flat Lexical Features," Journal of KIISE : Software and Applications, Vol.36, No.8, pp.642-652, 2009.
  15. http://gdp.globus.org/gt4-tutorial
  16. A. Harrison, I. Wang, I. Taylor, and M. Shields, "WS-RF Workflow in Triana," International Journal of High Performance Computing Applications Special Issue on Workflow Systems in Grid Environments, 2007.
  17. D. Hull, K. Wolstencroft, R. Stevens, C. Goble, M. Pocock, P. Li, and T. Oinn, "Taverna: a tool for building and running workflows of services," Nucleic Acids Research, Vol.34, Web Server issue, pp.729-732, 2006. https://doi.org/10.1093/nar/gkl320
  18. I. Altintas, C. Berkley, E. Jaeger, M. Jones, B. Ludascher, and S. Mock, "Kepler: An extensible system for design and execution of scientific workflows," 16th International Conference on Scientific and Statistical Database Management, pp.423-424, 2004.
  19. http://www.oasis-open.org/committees/wsbpel
  20. http://www.w3.org/TR/wsci