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Towards automated a...
Towards automated and proactive anomaly detection in a fiber access network
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- Abrahamsson, Henrik (författare)
- RISE,Industriella system
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- Henriksson, Daniel (författare)
- Lunet, Sweden
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- Makonyi, Karoly (författare)
- Savantic, Sweden
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visa fler...
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- Menéndez Hurtado (, David (författare)
- Savantic, Sweden
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- Sandell, Johan (författare)
- Waystream, Sweden
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visa färre...
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(creator_code:org_t)
- 2023
- 2023
- Engelska.
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Ingår i: Proceedings of 18th Swedish National Computer Networking and Cloud Computing Workshop (SNCNW 2023), Kristianstad, June 14-15, 2023..
- Relaterad länk:
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https://urn.kb.se/re...
Abstract
Ämnesord
Stäng
- Communication networks are vital for society and network availability is therefore crucial. There is a huge potential in using network telemetry data and machine learning algorithms to proactively detect anomalies and remedy problems before they affect the customers. In practice, however, there are many steps on the way to get there. In this paper we present ongoing development work on efficient data collection pipelines, anomaly detection algorithms and analysis of traffic patterns and predictability.
Ämnesord
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)