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Autoren:
Patri, Sai Kireet; Dick, Isabella; Kaeval, Kaida; Müller, Jasper; Pendremo-Manresa, Jose-Juan; Autenrieth, Achim; Elbers, Jörg-Peter; Tikas, Marko; Mas-Machuca, Carmen 
Dokumenttyp:
Konferenzbeitrag / Conference Paper 
Titel:
Machine Learning enabled Fault-Detection Algorithms for Optical Spectrum-as-a-Service Users 
Titel Konferenzpublikation:
2023 International Conference on Optical Network Design and Modeling (ONDM) 
Konferenztitel:
International Conference on Optical Network Design and Modeling (2023, Coimbra) 
Tagungsort:
Coimbra, Portugal 
Jahr der Konferenz:
2023 
Datum Beginn der Konferenz:
08.05.2023 
Datum Ende der Konferenz:
11.05.2023 
Verlagsort:
Piscataway, NJ 
Verlag:
IEEE 
Jahr:
2023 
Seiten von - bis:
1-6 
Sprache:
Englisch 
Schlagwörter:
Communication Networks 
Abstract:
The growing usage of high-bandwidth, low-latency applications has led to a significant increase in data traffic in recent years. To meet this demand, optical network operators have begun upgrading to Elastic Optical Networks (EONs), powered by Flexible Bandwidth Variable Transceivers (Flex-BVTs). Encouraged by the disaggregation trend, where Flex-BVTs and Open Line Systems (OLS) are owned and controlled by different parties, the operators are introducing new service models like Optical Spectrum-...    »
 
Open Access ja oder nein?:
Nein / No