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Enabling Provenance on Large Scale e-Science Applications

  • Miguel Branco
  • Luc Moreau
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4145)

Abstract

Large-scale e-Science experiments present unprecedented data handling requirements with their multi-petabyte data storages. Complex software applications, such as the ATLAS High Energy Physics experiment at CERN, run throughout Grid computing sites around the world in a distributed environment, with scientists performing concurrent analysis on data and producing new data products shared among the collaboration. In this paper, we introduce a multi-phase infrastructure to achieve data provenance for an e-Science experiment. We propose an infrastructure to integrate provenance onto an existing legacy application with strong emphasis on scalability and explore the relationship between provenance and metadata introducing a model where data provenance is made available as metadata through a separate reasoning phase.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Miguel Branco
    • 1
    • 2
  • Luc Moreau
    • 2
  1. 1.CERNEuropean Organization for, Nuclear ResearchGenève
  2. 2.University of SouthamptonSouthamptonUnited Kingdom

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