By Eric Braun

More and more research disciplines depend on large data sets that need to be analyzed. As computer scientists we could help by scalable process execution, automating processes and support scientists with complex scientific workflows. Another aspect is that more and more results require different experts from various scientific communities. That means that certain analyses cannot be performed by a single person. In this paper, they propose a framework based on cluster technology and container virtualization.

ICSA 2018 – A Generic and Highly Scalable Framework for the Automation and Execution of Scientific Data Processing and Simulation Workflows