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  4. Open-Source Platform for Integrating High-Reporting rate Information Using FIWARE Technology
 
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2023
Conference Paper
Title

Open-Source Platform for Integrating High-Reporting rate Information Using FIWARE Technology

Abstract
The rapid growth of the Internet of Things (IoT) has resulted in an exponential increase in the availability of real-time data from various sources. However, integrating and processing of high-reporting rate information poses significant challenges due to the large volume, communication, and heterogeneity of the data. In this paper, we are proposing an innovative framework providing a scalable and flexible architecture that enables efficient handling of high-reporting rate data streams from diverse equipment towards pre-processing, storage, visualization and third-party applications integration using the FIWARE technology.
Author(s)
Plamanescu, Radu
National University of Science and Technology POLITEHNICA Bucharest
Pitz, Manuel
Rheinisch-Westfälische Technische Hochschule Aachen
Maghnie, Mohamad
Rheinisch-Westfälische Technische Hochschule Aachen
Deaconescu, Catalin
National University of Science and Technology POLITEHNICA Bucharest
Stamatescu, Grigore
National University of Science and Technology POLITEHNICA Bucharest
Müller, Dirk
Rheinisch-Westfälische Technische Hochschule Aachen
Monti, Antonello  
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Albu, Mihaela Marilena
National University of Science and Technology POLITEHNICA Bucharest
Mainwork
2023 13th IEEE International Workshop on Applied Measurements for Power Systems Amps 2023 Proceedings
Funder
Horizon 2020 Framework Programme
Conference
13th IEEE International Workshop on Applied Measurements for Power Systems, AMPS 2023
DOI
10.1109/AMPS59207.2023.10297206
Language
English
Fraunhofer-Institut für Angewandte Informationstechnik FIT  
Keyword(s)
  • FIWARE

  • high-reporting rate

  • Open-source platform

  • power measurements

  • time series

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