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Modelling and Control of Big Data Frameworks

Authors:

Alberto Leva , Alessandro Papadopoulos

Publication Type:

Conference/Workshop Paper

Venue:

20th World Congress of the International Federation of Automatic Control


Abstract

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.

Bibtex

@inproceedings{Leva4697,
author = {Alberto Leva and Alessandro Papadopoulos},
title = {Modelling and Control of Big Data Frameworks},
month = {July},
year = {2017},
booktitle = {20th World Congress of the International Federation of Automatic Control},
url = {http://www.es.mdh.se/publications/4697-}
}