Abstract
Data analysis workflows (DAWs) are widely used in the scientific world. However, different communities created a plethora of domain-specific languages (DSLs) to specify their DAWs. Consequently, across DSLs, it is hard to perform operations on DAWs such as share, port, compare, re-use, adapt, or even merge. Thus, we have analyzed DAW specification languages and created a unified DAW metamodel to better understand the different DAW specification languages.
Type
Publication
Workflow Systems for Large-Scale Scientific Data Analysis
Fabian Lehmann
PhD candidate
My research interests include distributed systems, scientific workflows, and their scheduling.