Visualizing RCE Workflow Executions via W3C Provenance

The effort for managing processing information and datasets that are used for scientific research gets rather difficult. This applies especially if they become very large. Considering the provenance about data and data flows may simplify this task. This information, often in form of a more or less human-readable format, is not very easily interpretable. This makes it difficult to analyze the workflow and find mistakes. In this paper we present our prototypical approach of a visualization of workflow executions based on provenance data. We designed a provenance model that can be applied to the workflow orchestrating software RCE. During runtime, a lot of information about running workflows, components and tools is collected and converted to a format that is suitable for further analysis. With this we create a graph representation to visualize the provenance data we gathered. Thus, the user obtains a traceable representation of the data flow and processing information that makes it easy to confirm a proper workflow run or identify problems with it.