Article in Proceedings INPROC-2016-40

BibliographyFalkenthal, Michael; Breitenbücher, Uwe; Képes, Kálmán; Leymann, Frank; Zimmermann, Michael; Christ, Maximilian; Neuffer, Julius; Braun, Nils; Kempa-Liehr, Andreas W.: OpenTOSCA for the 4th Industrial Revolution: Automating the Provisioning of Analytics Tools Based on Apache Flink.
In: Proceedings of the 6th International Conference on the Internet of Things.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology.
pp. 179-180, english.
ACM, October 2016.
Article in Proceedings (Demonstration).
CR-SchemaK.6 (Management of Computing and Information Systems)
D.2.6 (Software Engineering Programming Environments)
Keywords4th Industrial Revolution; Cyber-Physical Systems; Apache Flink; Data Mock Services; Machine Learning; TOSCA

The 4th industrial revolution entails new levels of data driven value chain organization and management. In industrial environments, the optimization of whole production lines based on machine learning algorithms allow to generate huge business value. Still, one of the open challenges is how to process the collected data as close to the data sources as possible. To fill this gap, this paper presents an OpenTOSCA-based toolchain that is capable of automatically provisioning Apache Flink as a holistic analytics environment altogether with specialized machine learning algorithms. This stack can be deployed as close to the production line as possible to enable data driven optimization. Further, we demonstrate how the analytics stack can be modeled based on TOSCA to be automatically provisioned considering specific mock services to simulate machine metering in the development phase of the algorithms.

Department(s)University of Stuttgart, Institute of Architecture of Application Systems
Entry dateNovember 21, 2016
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