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Towards a big data platform for managing machine generated data in the cloud

Sammendrag

Industry 4.0 proposes the integration of the new generation of ICT solutions for the monitoring, adaptation, simulation, and optimisation of factories. With the democratization of sensors and actuators, factories and machine tools can now be sensorized and the data generated by these devices can be exploited, for instance, to optimize the utilization of the machines as well as their operation and maintenance. However, analysing the vast amount of data generated is resource demanding both in term of computing power and network bandwidth, thus requiring highly scalable solutions. This paper presents a novel big data platform for the management of machine generated data in the cloud. It brings together standard open source technologies which can be adapted to and deployed on different cloud infrastructures, hence reducing costs, minimising deployment difficulty and providing on-demand access to a virtually infinite set of computing, storage and network resources.
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Kategori

Vitenskapelig Kapittel/Artikkel/Konferanseartikkel

Oppdragsgiver

  • EU / 680478

Språk

Engelsk

Forfatter(e)

  • Nicolas Ferry
  • German Terrazas
  • Per Kalweit
  • Arnor Solberg
  • Svetan Ratchev
  • Dirk Weinelt

Institusjon(er)

  • SINTEF Digital / Sustainable Communication Technologies
  • University of Nottingham
  • Tyskland

År

2017

Forlag

IEEE (Institute of Electrical and Electronics Engineers)

Bok

Proceedings 15th IEEE International Conference on Industrial Informatics (INDIN), Emden, Germany, 24.-26. July, 2017

Hefte nr.

15

ISBN

978-1-5386-0837-1

Side(r)

263 - 270

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