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BORA 2.0

Tan Jerome, Nicholas ORCID iD icon 1
1 Institut für Prozessdatenverarbeitung und Elektronik (IPE), Karlsruher Institut für Technologie (KIT)

Abstract:

We unveil our vision and the latest developments for BORA 2.0 updates. At its core, this visionary upgrade harnesses the potential of BORA as a robust big data tool, empowering scientists to effort- lessly visualize their desired sensor data in real-time. To surmount the formidable challenges posed by big data, we employ cutting-edge video-streaming visualization techniques that seamlessly de- liver real-time data through finely-tuned pipelines. Notably, we are embarking on an exciting jour- ney to integrate AI and Notebooks, thereby revolutionizing knowledge discovery within the data display.
In our quest to expand BORA’s horizons beyond ADEI interfaces, we introduce an innovative plugin- based approach. This dynamic approach facilitates the integration of diverse data sources, including REST API and gRPC, thereby enhancing BORA’s versatility. Furthermore, we empower users with the ability to tweak system parameters on the fly, granting them complete control over the presen- tation of the final data.


Zugehörige Institution(en) am KIT Institut für Prozessdatenverarbeitung und Elektronik (IPE)
Publikationstyp Vortrag
Publikationsdatum 09.11.2023
Sprache Englisch
Identifikator KITopen-ID: 1000167715
HGF-Programm 54.12.02 (POF IV, LK 01) System Technologies
Veranstaltung 45th KATRIN Collaboration Meeting (2023), Online, 06.11.2023 – 10.11.2023
Projektinformation KATRIN-Experiment (BMBF, 05A20VK3)
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