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Common motifs in scientific workflows: An empirical analysis

Goble, Carole; Gil, Yolanda; Corcho, Oscar; Belhajjame, Khalid; Garijo, Daniel; Alper, Pinar (2014), Common motifs in scientific workflows: An empirical analysis, Future Generation Computer Systems, 36, p. 338-351. 10.1016/j.future.2013.09.018

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garijo-etal-escience12.pdf (1.441Mb)
Type
Article accepté pour publication ou publié
Date
2014
Journal name
Future Generation Computer Systems
Volume
36
Pages
338-351
Publication identifier
10.1016/j.future.2013.09.018
Metadata
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Author(s)
Goble, Carole
School of Computer Science [Manchester]
Gil, Yolanda
University of Navarra, Spain
Corcho, Oscar

Belhajjame, Khalid
University of Manchester
Garijo, Daniel
Universite Polytechnica de Madrid
Alper, Pinar
University of Manchester
Abstract (EN)
Workflow technology continues to play an important role as a means for specifying and enacting computational experiments in modern science. Reusing and re-purposing workflows allow scientists to do new experiments faster, since the workflows capture useful expertise from others. As workflow libraries grow, scientists face the challenge of finding workflows appropriate for their task, understanding what each workflow does, and reusing relevant portions of a given workflow. We believe that workflows would be easier to understand and reuse if high-level views (abstractions) of their activities were available in workflow libraries. As a first step towards obtaining these abstractions, we report in this paper on the results of a manual analysis performed over a set of real-world scientific workflows from Taverna, Wings, Galaxy and Vistrails. Our analysis has resulted in a set of scientific workflow motifs that outline (i) the kinds of data-intensive activities that are observed in workflows (Data-Operation motifs), and (ii) the different manners in which activities are implemented within workflows (Workflow-Oriented motifs). These motifs are helpful to identify the functionality of the steps in a given workflow, to develop best practices for workflow design, and to develop approaches for automated generation of workflow abstractions.
Subjects / Keywords
Scientific workflows; Workflow motif; Workflow pattern; Taverna; Wings; Galaxy; Vistrails

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