Taverna, Reloaded

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

DOI: 10.1007/978-3-642-13818-8_33

Part of the Lecture Notes in Computer Science book series (LNCS, volume 6187)
Cite this paper as:
Missier P. et al. (2010) Taverna, Reloaded. In: Gertz M., Ludäscher B. (eds) Scientific and Statistical Database Management. SSDBM 2010. Lecture Notes in Computer Science, vol 6187. Springer, Berlin, Heidelberg

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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2010

Authors and Affiliations

  • Paolo Missier
    • 1
  • Stian Soiland-Reyes
    • 1
  • Stuart Owen
    • 1
  • Wei Tan
    • 2
  • Alexandra Nenadic
    • 1
  • Ian Dunlop
    • 1
  • Alan Williams
    • 1
  • Tom Oinn
    • 3
  • Carole Goble
    • 1
  1. 1.School of Computer ScienceThe University of ManchesterUK
  2. 2.Mathematics and Computer Science DivisionArgonne National LaboratoryArgonneUSA
  3. 3.European Bioinformatics InstituteUK

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