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Enabling Data Sharing and Collaboration in Complex Systems Applications

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Distributed, High-Performance and Grid Computing in Computational Biology (GCCB 2007)

Part of the book series: Lecture Notes in Computer Science ((LNBI,volume 4360))

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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.

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Authors and Affiliations

  1. Computational Biochemistry and Biophysics Laboratory, Research Unit on Biomedical Informatics (GRIB) Institut Municipal d’Investigació Mèdica and Universitat Pompeu Fabra, C/Doctor Aiguader, 88 08003 Barcelona, Catalunya, Spain

    Michael A. Johnston & Jordi Villà-Freixa

Authors
  1. Michael A. Johnston
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  2. Jordi Villà-Freixa
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Werner Dubitzky Assaf Schuster Peter M. A. Sloot Michael Schroeder Mathilde Romberg

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© 2007 Springer Berlin Heidelberg

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Johnston, M.A., Villà-Freixa, J. (2007). Enabling Data Sharing and Collaboration in Complex Systems Applications. In: Dubitzky, W., Schuster, A., Sloot, P.M.A., Schroeder, M., Romberg, M. (eds) Distributed, High-Performance and Grid Computing in Computational Biology. GCCB 2007. Lecture Notes in Computer Science(), vol 4360. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69968-2_10

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  • DOI: https://doi.org/10.1007/978-3-540-69968-2_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69841-8

  • Online ISBN: 978-3-540-69968-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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