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ANIARA Project - Automation of Network Edge Infrastructure and Applications with Artificial Intelligence
Ericsson, Sweden.
Ericsson, Sweden.
Ericsson, Sweden.
Ericsson, Sweden.
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2023 (English)In: ACM SIGAda Ada Letters, Vol. 42, no 2, p. 92-95Article in journal (Refereed) Published
Abstract [en]

Emerging use-cases like smart manufacturing and smart cities pose challenges in terms of latency, which cannot be satisfied by traditional centralized infrastructure. Edge networks, which bring computational capacity closer to the users/clients, are a promising solution for supporting these critical low latency services. Different from traditional centralized networks, the edge is distributed by nature and is usually equipped with limited compute capacity. This creates a complex network to handle, subject to failures of different natures, that requires novel solutions to work in practice. To reduce complexity, edge application technology enablers, advanced infrastructure and application orchestration techniques need to be in place where AI and ML are key players.

Place, publisher, year, edition, pages
2023. Vol. 42, no 2, p. 92-95
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Communication Systems
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URN: urn:nbn:se:ri:diva-66258DOI: 10.1145/3591335.3591347OAI: oai:DiVA.org:ri-66258DiVA, id: diva2:1795868
Available from: 2023-09-11 Created: 2023-09-11 Last updated: 2023-09-11Bibliographically approved

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Marsh, IanGustafsson, JonasSköldström, PontusDowling, Jim

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