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Modelling and Control of Big Data Frameworks
Politecnico di Milano, Italy.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1364-8127
2017 (English)In: IFAC-PapersOnLine, Vol. 50, 2017, Vol. 50, 6110-6115 p., 1Conference paper, Published paper (Refereed)
Abstract [en]

We present a model library conceived to design and assess critical components of big data frameworks, with a control-centric approach. The library adopts the object-oriented paradigm, using the Modelica language. Continuous-time and algorithmic models can be mixed, allowing to represent control code with high fidelity, and to reduce the simulation effort to the minimum required. We discuss the used modelling principles, describe the library, and show some design examples.

Place, publisher, year, edition, pages
2017. Vol. 50, 6110-6115 p., 1
Series
IFAC-PapersOnLine, ISSN 2405-8963
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-35480OAI: oai:DiVA.org:mdh-35480DiVA: diva2:1108065
Conference
20th World Congress of the International Federation of Automatic Control IFAC 17, 9-14 Jul 2017, Toulouse, France
Projects
Future factories in the Cloud
Available from: 2017-06-12 Created: 2017-06-12 Last updated: 2017-11-02Bibliographically approved

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Papadopoulos, Alessandro

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