Artikel in Tagungsband INPROC-2016-40

Bibliograph.
Daten
Falkenthal, 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.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik.
S. 179-180, englisch.
ACM, Oktober 2016.
Artikel in Tagungsband (Demonstration).
CR-Klassif.K.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
Kurzfassung

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.

Abteilung(en)Universität Stuttgart, Institut für Architektur von Anwendungssystemen
Projekt(e)SePiA.Pro
Eingabedatum21. November 2016
   Publ. Institut   Publ. Informatik