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  • 标题:Modelling and Control of Big Data Frameworks * * This work was partially supported by the Swedish Foundation for Strategic Research under the project “Future factories in the cloud (FiC)” with grant number GMT14-0032.
  • 本地全文:下载
  • 作者:Alberto Leva ; Alessandro Vittorio Papadopoulos
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:6110-6115
  • DOI:10.1016/j.ifacol.2017.08.2017
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractWe 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.
  • 关键词:KeywordsBig dataComputing systemsControl-oriented modellingObject-oriented modellingsimulation
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