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Titel:

Autonomous convergence mechanisms for collaborative crowd-sourced data-modeling

Dokumenttyp:
Konferenzbeitrag
Autor(en):
Lübben, Christian; Pahl, Marc-Oliver
Stichworte:
Analytical models; Adaptation models; Runtime; Scalability; Semantics; Redundancy; Collaboration; IoT; data; modeling; interoperability; convergence; crowdsourcing; collaboration; open
Kongress- / Buchtitel:
NOMS 2022-2022 IEEE/IFIP Network Operations and Management Symposium
Verlag / Institution:
Institute of Electrical and Electronics Engineers
Jahr:
2022
Seiten:
1-5
Volltext / DOI:
doi:10.1109/NOMS54207.2022.9789820
WWW:
https://doi.org/10.1109/NOMS54207.2022.9789820
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