Exploring Workflow Interoperability for Neuroimage Analysis on the SHIWA Platform

  • Authors:

  • Vladimir Korkhov;Dagmar Krefting;Tamas Kukla;Gabor Z. Terstyanszky;Matthan W. Caan;Silvia D. Olabarriaga

  • Affiliations:

  • Faculty of Applied Mathematics and Control Processes, St. Petersburg State University, St. Petersburg, Russia 198504 and Academic Medical Center, University of Amsterdam, Amsterdam, The Netherland ...;University of Applied Sciences Berlin, Berlin, Germany 12459;Centre for Parallel Computing, University of Westminster, London, UK W1W 6UAW;Centre for Parallel Computing, University of Westminster, London, UK W1W 6UAW;Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands 1100 DE;Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands 1100 DE

  • Venue:
  • Journal of Grid Computing
  • Year:
  • 2013

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Abstract

Neuroimaging is a field that benefits from distributed computing infrastructures (DCIs) to perform data processing and analysis, which is often achieved using Grid workflow systems. Collaborative research in neuroimaging requires ways to facilitate exchange between different groups, in particular to enable sharing, re-use and interoperability of applications implemented as workflows. The SHIWA project provides solutions to facilitate sharing and exchange of workflows between workflow systems and DCI resources. In this paper we present and analyse how the SHIWA Platform was used to implement various cases in which workflow exchange supports collaboration in neuroscience. The SHIWA Platform and the implemented solutions are described and analysed from a "user" perspective, in this case workflow developers and neuroscientists. We conclude that the platform in its current form is valuable for these cases, and we identify remaining challenges.