Taverna, reloaded

  • Authors:
  • Paolo Missier;Stian Soiland-Reyes;Stuart Owen;Wei Tan;Alexandra Nenadic;Ian Dunlop;Alan Williams;Tom Oinn;Carole Goble

  • Affiliations:
  • School of Computer Science, The University of Manchester, UK;School of Computer Science, The University of Manchester, UK;School of Computer Science, The University of Manchester, UK;Mathematics and Computer Science Division, Argonne National Laboratory, Argonne, IL;School of Computer Science, The University of Manchester, UK;School of Computer Science, The University of Manchester, UK;School of Computer Science, The University of Manchester, UK;European Bioinformatics Institute, UK;School of Computer Science, The University of Manchester, UK

  • Venue:
  • SSDBM'10 Proceedings of the 22nd international conference on Scientific and statistical database management
  • Year:
  • 2010

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Abstract

The Taverna workflow management system is an open source project with a history of widespread adoption within multiple experimental science communities, and a long-term ambition of effectively supporting the evolving need of those communities for complex, data-intensive, service-based experimental pipelines. This short paper describes how the recently overhauled technical architecture of Taverna addresses issues of efficiency, scalability, and extensibility, and presents performance results based on a collection of synthetic workflows, as well as a concrete case study involving a production workflow in the area of cancer research.