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

  • Authors:

  • David Mera;José M. Cotos;Joaquín A. Trinanes;Carmen Cotelo

  • Affiliations:

  • Systems Laboratory, Electronics and Computer Science Department. Technological Research Institute, University of Santiago de Compostela, Santiago de Compostela, Spain 15782;Systems Laboratory, Electronics and Computer Science Department. Technological Research Institute, University of Santiago de Compostela, Santiago de Compostela, Spain 15782;Systems Laboratory, Electronics and Computer Science Department. Technological Research Institute, University of Santiago de Compostela, Santiago de Compostela, Spain 15782;Centro de Supercomputación de Galicia, Santiago de Compostela, Spain 15705

  • Venue:
  • IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part II: Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living
  • Year:
  • 2009

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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.