FragFlow: automated fragment detection in scientific workflows

Garijo Verdejo, Daniel and Corcho, Oscar and Gil, Yolanda and Gutman, Boris A. and Dinov, Ivo D. and Thompson, Paul and Toga, Arthur W. (2014). FragFlow: automated fragment detection in scientific workflows. In: "10th IEEE International Conference on e-Science", 20-24 Oct 2014, Guaruja, Sao Paulo, Brasil. ISBN 978-1-4799-4288-6. pp. 281-290.


Title: FragFlow: automated fragment detection in scientific workflows
  • Garijo Verdejo, Daniel
  • Corcho, Oscar
  • Gil, Yolanda
  • Gutman, Boris A.
  • Dinov, Ivo D.
  • Thompson, Paul
  • Toga, Arthur W.
Item Type: Presentation at Congress or Conference (Article)
Event Title: 10th IEEE International Conference on e-Science
Event Dates: 20-24 Oct 2014
Event Location: Guaruja, Sao Paulo, Brasil
Title of Book: eScience 2014: proceedings
Date: 2014
ISBN: 978-1-4799-4288-6
Volume: 2
Freetext Keywords: Scientific workflow; Workflow fragment; Workflow reuse; LONI pipeline
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Inteligencia Artificial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Scientific workflows provide the means to define, execute and reproduce computational experiments. However, reusing existing workflows still poses challenges for workflow designers. Workflows are often too large and too specific to reuse in their entirety, so reuse is more likely to happen for fragments of workflows. These fragments may be identified manually by users as sub-workflows, or detected automatically. In this paper we present the FragFlow approach, which detects workflow fragments automatically by analyzing existing workflow corpora with graph mining algorithms. FragFlow detects the most common workflow fragments, links them to the original workflows and visualizes them. We evaluate our approach by comparing FragFlow results against user-defined sub-workflows from three different corpora of the LONI Pipeline system. Based on this evaluation, we discuss how automated workflow fragment detection could facilitate workflow reuse.

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Item ID: 36726
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Deposited by: Memoria Investigacion
Deposited on: 10 May 2016 12:15
Last Modified: 16 Nov 2017 09:46
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