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SUMMARY:Towards automated and proactive anomaly detection in fiber access 
 networks - Johan Sandell\, Behnam Shariati\, Christian Burk\, Dr. David Ho
 ck
DTSTART;TZID=Europe/Berlin:20231120T143000
DTEND;TZID=Europe/Berlin:20231120T150000
DTSTAMP:20260811T053038Z
UID:pretalx-denog15-8AN7PV@pretalx.com
DESCRIPTION:Communication networks are vital for society and network avail
 ability is therefore crucial. There is a huge potential in using network t
 elemetry data and machine learning algorithms to proactively detect anomal
 ies and remedy network problems before they affect the customers. In pract
 ice\, however\, there are many steps on the way to get there. In this pres
 entation we would like to share the status of an ongoing research collabor
 ation with the purpose of simplifying the operation and increase the avail
 ability of fiber access networks.\n\nThe research project is part of a CEL
 TIC_NEXT flagship research program (AI-NET) that has the overall target of
  accelerating the digital transformation in Europe by intelligent network 
 automation.\n\nThe project (“Palantir”) consists of two parts:\n\nA fi
 eld trial in a Swedish municipality network where telemetry data from more
  than 500 access switches\, connecting more than 12000 households\, are co
 llected and analyzed for anomalies using machine learning. (The field tria
 l is planned to be expanded to cover 1000 access switches during the proje
 ct and synthetic errors are planned to be injected to emulate error situat
 ions.)\n\nThe second part is a demonstrator to be set up at Fraunhoffer HH
 I in Berlin (starting in October 2023). The demonstrator covers an end to 
 end network and aims to demonstrate all aspects of the research program.\n
 \nIn the presentation we would like to describe our field trial and demons
 trator\, share our experiences in collecting and analyzing telemetry data 
 in the field and describe our conclusions so far. \nWe would also like to 
 open up for a discussion with the DENOG15 participants on what real life e
 rror situations that causes the most problems in fiber access networks and
  whether they would be suitable for AI detection (and potentially also for
  error emulation in our field trial).\n\nProject Palantir is a collaborati
 on between:\n•	Fraunhofer HHI	 (German Research Institute): Demonstrator
 \n•	Lunet (Swedish operator - open access municipality network): Field t
 rial\n•	RISE (Independent Swedish research institute): Field trial\n•	
 Savantic (Swedish AI specialists): Field trial\n•	Waystream (FTTX vendor
 ): Field trial and demonstrator
LOCATION:Auditorium
URL:https://pretalx.com/denog15/talk/8AN7PV/
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