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OGSA-DAI Extension for Executing External Jobs in Workflows

  • Ǧorgi Kakaševski
  • Anastas Mishev
  • Armey Krause
  • Solza Grčeva
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 207)

Abstract

Because of the nature of Grid to be heterogeneous and distributed environment, the database systems which should works on Grid must support this architecture. OGSA-DAI is an example of such extensible service based framework that allow data resources to be incorporated into Grid fabrics. On the other side, many algorithms (for example, for data mining) are not built in Java, they aren’t open source projects and can’t be easily incorporated in OGSA-DAI workflows. For that reason, we propose OGSA-DAI extension with new computational resources and activities that allow executing of external jobs, and returning data into OGSA DAI workflow. In this paper, we introduce heterogeneous and distributed databases, then we discuss our proposed model, and finally, we report our initial implementation.

Keywords

Grid computing heterogeneous distributed databases OGSA-DAI 

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References

  1. 1.
    Foster, I., Kesselman, C.: The Grid: Blueprint for a New Computing Infrastructure. Elsevier (2004)Google Scholar
  2. 2.
    Taylor, J.: Defining e-Science, http://www.nesc.ac.uk/nesc/define.html
  3. 3.
    Kakasevski, G., et al.: Grid enabled system for gathering and retrieving images from WEB. In: ETAI 2007 (2007)Google Scholar
  4. 4.
    The Large Hadron Collider Homepage, http://lhc.web.cern.ch/lhc/
  5. 5.
    Balaz, A., Prnjat, O., Vudragovic, D., Slavnic, V., Liabotis, I., Atanassov, E., Jakimovski, B., Savic, M.: Development of Grid E-Infrastructure in South-Eastern Europe. J. Grid Comput. 9, 135–154 (2011)CrossRefGoogle Scholar
  6. 6.
    Hong, N.P.C., et al.: Grid Database Service Specification. GGF Informational Document (February 2003)Google Scholar
  7. 7.
    Antonioletti, M., Atkinson, M., Baxter, R., Borley, A., Hong, N., Collins, B., Hardman, N., Hume, A., Knox, A., Jackson, M., et al.: The design and implementation of Grid database services in OGSA-DAI. Concurrency and Computation: Practice and Experience 17(2-4), 357–376 (2005)CrossRefGoogle Scholar
  8. 8.
    Holmes, G., Donkin, A., Witten, I.H.: Weka: A machine learning workbench. In: Proc. Second Australia and New Zealand Conference on Intelligent Information Systems, Brisbane, Australia (1994)Google Scholar
  9. 9.
    The University of Waikato; WEKA - Open source datamining software (2012), http://www.cs.waikato.ac.nz/ml/weka/
  10. 10.
    Foster, I., Kesselman, C., Nick, J.M., Tuecke, S.: The physiology of the grid: An open grid services architecture for distributed systems integration. Open Grid Service Infrastructure WG, Global Grid Forum 22, 1–5 (2002)Google Scholar
  11. 11.
    Open Grid Forum - community of users, developers, and vendors for standardization of Grid computing (2012), http://www.ogf.org/
  12. 12.
    Atkinson, M.P., Dialani, V., Guy, L., Narang, I., Paton, N.W., Pearson, D., Storey, T., Watson, P.: Grid Database Access and Integration: Requirements and Functionalities. DAIS-WG, Global Grid Forum Informational Document, GFD.13 (March 2003)Google Scholar
  13. 13.
    Lee, A., Magowan, J., Dantressangle, P., Bannwart, F.: Bridging the Integration Gap, Part 1: Federating Grid Data. IBM Developer Works (August 2005)Google Scholar
  14. 14.
    Watson, P.: Databases in Grid Applications: Locality and Distribution. In: Jackson, M., Nelson, D., Stirk, S. (eds.) BNCOD 2005. LNCS, vol. 3567, pp. 1–16. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  15. 15.
    Jackson, M., et al.: OGSA-DAI 3.0–the whats and the whys. In: Proc. UK e-Science All Hands Q6 Meeting, pp. 158–165 (2007)Google Scholar
  16. 16.
    Abhinav, K.: Evaluation of Grid Middleware OGSA-DAI. School of Computing Science. Vellore Institute of Technology, Deemed University (May 2006)Google Scholar
  17. 17.
    Tanimura, Y., Yamamoto, N., Tanaka, Y., Iwao, K., Kojima, I., Nakamura, R., Tsuchida, S., Sekiguchi, S.: Evaluation of Large-Scale Storage Systems for Satellite Data in GEO GRID. In: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Beijing, vol. XXXVII(Pt. B4), pp. 1567–1574 (2008)Google Scholar
  18. 18.
    MESSAGE (Mobile Environmental Sensing System Across Grid Environments) Project (2010), http://bioinf.ncl.ac.uk/message/
  19. 19.
    Garcia Ruiz, M., Garcia Chaves, A., Ruiz Ibañez, C., Gutierrez Mazo, J.M., Ramirez Giraldo, J.C., Pelaez Echavarria, A., Valencia Diaz, E., Pelaez Restrepo, G., Montoya Munera, E.N., Garcia Loaiza, B., Gomez Gonzalez, S.: mantisGRID: A Grid Platform for DICOM Medical Images Management in Colombia and Latin America. J. Digit. Imaging (Febuary 2010)Google Scholar
  20. 20.
    OGSA-DAI open source project publications (2012), http://sourceforge.net/apps/trac/ogsa-dai/wiki/Publications
  21. 21.
  22. 22.
    Singh, G., Kesselman, C., Deelman, E.: Optimizing Grid-Based Workflow Execution. J. Grid Comput. 3(3-4), 201–219 (2005)CrossRefGoogle Scholar
  23. 23.
    Luckow, A., Lacinski, L., Jha, S.: SAGA BigJob: An Extensible and Interoperable Pilot-Job Abstraction for Distributed Applications and Systems. In: CCGRID 2010, pp. 135–144 (2010)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Ǧorgi Kakaševski
    • 1
  • Anastas Mishev
    • 2
  • Armey Krause
    • 3
  • Solza Grčeva
    • 1
  1. 1.Faculty of InformaticsFON UniversitySkopjeR. Macedonia
  2. 2.Faculty of Computer Science and EngineeringSs. Cyril and Methodius UniversitySkopjeRepublic of Macedonia
  3. 3.EPCCUniversity of EdinburghEdinburghUK

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