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Time-aware Data Spaces – A key Computing Unit in the Edge-to-Cloud Continuum

Beteiligte Autoren der JOANNEUM RESEARCH:
Autor*innen:
Zeiner, Herwig; Unterberger, Roland
Abstract:
Digital transformation requires new views and strategies for edge computing for Industrial Internet of Things applications. In this work, we elaborate the importance of time-aware data spaces as a conceptual entity for a digital and scaleable approach in a data-driven world. This work introduces these small data spaces deployed and distributed through edge analytic boxes. The concept time-aware data space is more suitable than single sensors for this type of application. It is particularly suitable in the edge-to-cloud continuum to build robust solutions and allow a new view on these types of applications. Moreover, we use this approach in a production environment. The requirements are a suitable application area for our time-aware data spaces. They can be used to monitor the environment, the machines or the production processes. Such an approach can also be integrated into other existing solutions with reasonable efforts.
Titel:
Time-aware Data Spaces – A key Computing Unit in the Edge-to-Cloud Continuum
Herausgeber (Verlag):
IEEE
Seiten:
250-255
Publikationsdatum
2021-11

Publikationsreihe

Herausgeber(Verlag)
IEEE
Adresse
Rome, Italy
Proceedings
2021 8th International Conference on Future Internet of Things and Cloud (FiCloud)

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