ProvManager: a provenance management system for scientific workflows

  • Authors:

  • Anderson Marinho;Leonardo Murta;Cláudia Werner;Vanessa Braganholo;Sérgio Manuel Serra da Cruz;Eduardo Ogasawara;Marta Mattoso

  • Affiliations:

  • COPPE – Federal University of Rio de Janeiro, Brazil;Computing Institute – Fluminense Federal University, Brazil;COPPE – Federal University of Rio de Janeiro, Brazil;Computing Institute – Fluminense Federal University, Brazil;COPPE – Federal University of Rio de Janeiro, Brazil and ICE - Federal Rural University of Rio de Janeiro, Brazil;COPPE – Federal University of Rio de Janeiro, Brazil and Federal Center of Technological Education of Rio de Janeiro, Brazil;COPPE – Federal University of Rio de Janeiro, Brazil

  • Venue:
  • Concurrency and Computation: Practice & Experience
  • Year:
  • 2012

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Abstract

Running scientific workflows in distributed and heterogeneous environments has been a motivating approach for provenance management, which is loosely coupled to the workflow execution engine. This kind of approach is interesting because it allows both storage and access to provenance data in a homogeneous way, even in an environment where different workflow management systems work together. However, current approaches overload scientists with many ad hoc tasks, such as script adaptations and implementations of extra functionalities to provide provenance independence. This paper proposes ProvManager, a provenance management approach that eases the gathering, storage, and analysis of provenance information in a distributed and heterogeneous environment scenario, without putting the burden of adaptations on the scientist. ProvManager leverages the provenance management at the experiment level by integrating different workflow executions from multiple workflow management systems. Copyright © 2011 John Wiley & Sons, Ltd.