Daniel Garijo

FragFlow automated fragment detection in scientific workflows

TitleFragFlow automated fragment detection in scientific workflows
Publication TypeConference Paper
Year of Publication2014
AuthorsD. Garijo, O. Corcho, Y. Gil, B. A. Gutman, I. D. Dinov, P. Thompson, and A. W. Toga
Conference NameProceedings - 2014 IEEE 10th International Conference on eScience, eScience 2014

© 2014 IEEE.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.