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An Integrated Solution to Store, Manage and Work with Datasets Focused on Metadata in the Retelab Grid Project

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Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living (IWANN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5518))

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Abstract

We propose in this paper the design and implementation of a Data Grid and its deployment in the Retelab project. Retelab Data Grid was deployed as a portlet in the Retelab web portal, adding new functionalities to the project. Such a system allows the users to search and manage the geoscientific data stored in the Retelab datasets through data attributes. Thus, the users do not need to know where or how data are stored. Retelab users can upload their own data and label them with metadata, which is a way of sharing information through the Ocean research community. We developed some procedures to use data as parameters in running jobs in the Grid system using a comfortable and visual interface. The Data Grid also provides different means for analyzing and visualizing data stored in Retelab.

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References

  1. Anjomshoaa, A., Brisard, F., Drescher, M., Fellows, D., Ly, A., S-McGough, Pulsipher, D., Savva, A. (eds.): Job Submission Description Language (JSDL) Specification,Version 1.0.,Global Grid Forum, Lemont, Illinois, U.S.A. (2005)

    Google Scholar 

  2. Antonioletti, M., Atkinson, M.P., Baxter, R., Borley, A., Chue Hong, N.P., Collins, B., Hardman, N., Hume, A., Knox, A., Jackson, M., Krause, A., Laws, S., Magowan, J., Paton, N.W., Pearson, D., Sugden, T., Watson, P., Westhead, M.: The Design and Implementation of Grid Database Services in OGSA-DAI. Concurrency and Computation: Practice and Experience 17(2-4), 357–376 (2005)

    Article  Google Scholar 

  3. Mera, D., Cotos, J.M., Viqueira, J.R.R., Varela, J.: A User Management Web System Based on Portlets for a Grid Environment Integrating Shibboleth, PURSe, PERMIS and Gridsphere. In: Advances in Soft Computing, International Symposium on Distributed Computing and Artificial Intelligence 2008, pp. 38–46. Springer, Heidelberg (2008)

    Google Scholar 

  4. Foster, I., Kesselman, C.: GLOBUS: a metacomputing infrastructure toolkit. International Journal of Supercomputing Applications and High Performance Computing 11(2), 115–128 (1997)

    Article  Google Scholar 

  5. Foster, I., Kesselman: The grid: blueprint for a new computing infrastructure. Morgan Kaufmann Publishers Inc., San Francisco (1999)

    Google Scholar 

  6. Geographic Information - Metadata. International Organization for Standardization ISO 19115 (E) 1st edn., Geneva, Switzerland (2003)

    Google Scholar 

  7. GridWay Metascheduler, http://www.gridway.org (retrieved February 2009)

  8. Singh, G., Bharathi, S., Chervenak, A., Deelman, E., Kesselman, C., Manohar, M., Patil, S., Pearlman, L.: A Metadata Catalog Service for Data Intensive Applications. In: Proceedings of the 2003 ACM/IEEE Conference on Supercomputing, p. 33 (2003)

    Google Scholar 

  9. Hankin, S., Davison, J., Callahan, J., Harrison, D.E., OBrien, K.: A configurable web server for gridded data: a framework for collaboration. In: 14th International Conference on Interactive Information and Processing Systems for Meteorology, Oceanography, and Hydrology, AMS, pp. 417–418 (1998)

    Google Scholar 

  10. Integrated Data Viewer (IDV), http://www.unidata.ucar.edu/software/idv/ (retrieved February 2009)

  11. Shiers, J.: The Worldwide LHC Computing Grid (worldwide LCG). Computer Physics Communications 177(1-2), 219–223 (2007); Proceedings of the Conference on Computational Physics 2006 - CCP 2006, Conference on Computational Physics 2006 (2006)

    Article  Google Scholar 

  12. Queijo, C.C., Tato, A.G., Cabido, I.L., Yañez, J.M.C.: Adapting ROMS to Execute on GRID Using a Hybrid Parallelization Model. In: 2nd International Conference on Advanced Engineering Computing and Applications in Sciences, pp. 57–62 (2008)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Mera, D., Cotos, J.M., Trinanes, J.A., Cotelo, C. (2009). An Integrated Solution to Store, Manage and Work with Datasets Focused on Metadata in the Retelab Grid Project. In: Omatu, S., et al. Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living. IWANN 2009. Lecture Notes in Computer Science, vol 5518. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02481-8_71

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  • DOI: https://doi.org/10.1007/978-3-642-02481-8_71

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02480-1

  • Online ISBN: 978-3-642-02481-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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