%0 Conference Paper %1 eichelberger2016using %A Eichelberger, Holger %A Qin, Cui %A Sizonenko, Roman %A Schmid, Klaus %B Proceedings of the International Software Product Lines Conference (SPLC '16) %D 2016 %I ACM %K IVML easy-producer myown qualimaster topologies %P 204-208 %T Using IVML to Model the Topology of Big Data Processing Pipelines %X 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).

@inproceedings{eichelberger2016using, abstract = {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).}, added-at = {2016-09-24T18:11:34.000+0200}, author = {Eichelberger, Holger and Qin, Cui and Sizonenko, Roman and Schmid, Klaus}, biburl = {https://www.bibsonomy.org/bibtex/268b81ebe1ed03bbad1c8e138b0e0abf7/eichelbe}, booktitle = {Proceedings of the International Software Product Lines Conference (SPLC '16)}, interhash = {5e442c7415917edf65e984c92eea935c}, intrahash = {68b81ebe1ed03bbad1c8e138b0e0abf7}, keywords = {IVML easy-producer myown qualimaster topologies}, month = {sept}, pages = {204-208}, publisher = {ACM}, timestamp = {2016-09-24T18:11:59.000+0200}, title = {Using IVML to Model the Topology of Big Data Processing Pipelines}, year = 2016 }