Chapter

Scientific and Statistical Database Management

Volume 6187 of the series Lecture Notes in Computer Science pp 471-481

Taverna, Reloaded

  • Paolo MissierAffiliated withSchool of Computer Science, The University of Manchester
  • , Stian Soiland-ReyesAffiliated withSchool of Computer Science, The University of Manchester
  • , Stuart OwenAffiliated withSchool of Computer Science, The University of Manchester
  • , Wei TanAffiliated withMathematics and Computer Science Division, Argonne National Laboratory
  • , Alexandra NenadicAffiliated withSchool of Computer Science, The University of Manchester
  • , Ian DunlopAffiliated withSchool of Computer Science, The University of Manchester
  • , Alan WilliamsAffiliated withSchool of Computer Science, The University of Manchester
  • , Tom OinnAffiliated withEuropean Bioinformatics Institute
  • , Carole GobleAffiliated withSchool of Computer Science, The University of Manchester

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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.