Using IVML to model the topology of big data processing pipelines
Holger Eichelberger, Cui Qin, Roman Sizonenko, Klaus Schmid · 2016
Creating product lines of Big Data stream processing applications introduces a number of novel challenges to variability modeling. In this paper, we discuss these challenges and demonstrate how advanced variability modeling capabilities can be used to directly model the topology of processing pipelines as well as their variability. We also show how such processing pipelines can be modeled, configured and validated using the Integrated Variability Modeling Language (IVML).