Enabling data sharing and collaboration in complex systems applications

  • Authors:
  • Michael A. Johnston;Jordi Villà-Freixa

  • Affiliations:
  • Computational Biochemistry and Biophysics Laboratory, Research Unit on Biomedical Informatics, Institut Municipal d'Investigació Mèdica and Universitat Pompeu Fabra, Barcelona, Catalunya ...;Computational Biochemistry and Biophysics Laboratory, Research Unit on Biomedical Informatics, Institut Municipal d'Investigació Mèdica and Universitat Pompeu Fabra, Barcelona, Catalunya ...

  • Venue:
  • GCCB'06 Proceedings of the 2006 international conference on Distributed, high-performance and grid computing in computational biology
  • Year:
  • 2007

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Abstract

We describe a model for the data storage, retrieval and manipulation requirements of complex system applications based on pervasive, integrated, application specific databases shared over a peer to peer network. Such a model can significannotly increase productivity through transparent data sharing and querying as well as aid collaborations. We show a proof of concept of this approach as implemented in the Adun molecular simulation application together with a discussion of its limitations and possible extensions.