Section: New Results

Data Integration

Work performed in the Data Integration axis this year has been dedicated to the design and implementation of a new approach to reduce the complexity of scientific workflow structures. More precisely, we focused on the presence of “anti-patterns” in the workflow structures, idiomatic structures that lead to over-complicated design. We have then proposed the DistilFlow method and a tool for automatically detecting such anti-patterns and replacing them with different patterns which result in a reduction in the workflow's overall structural complexity [10] (BMC Journal paper accepted, published early 2014). This work has been performed in close collaboration with the Taverna group from the University of Manchester.

DistilFlow is part of J. Chen's thesis who has defended his PhD on October 11th, 2013 [7] and is now back to China as a research assistant in Lanzhou University.