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Evolving 5G: ANIARA, an edge-cloud perspective
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0001-8338-5513
RISE Research Institutes of Sweden.ORCID iD: 0000-0003-0132-857x
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0002-8102-5773
RISE Research Institutes of Sweden, Digital Systems, Data Science.ORCID iD: 0000-0002-9759-5594
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2021 (English)In: CF '21: Proceedings of the 18th ACM International Conference on Computing FrontiersMay 2021, Association for Computing Machinery , 2021, p. 206-207Conference paper, Published paper (Refereed)
Abstract [en]

ANIARA (https://www.celticnext.eu/project-ai-net) attempts to enhance edge architectures for smart manufacturing and cities. AI automation, orchestrated lightweight containers, and efficient power usage are key components of this three-year project. Edge infrastructure, virtualization, and containerization in future telecom systems enable new and more demanding use cases for telecom operators and industrial verticals. Increased service flexibility adds complexity that must be addressed with novel management and orchestration systems. To address this, ANIARA will provide en-ablers and solutions for services in the domains of smart cities and manufacturing deployed and operated at the network edge(s).

Place, publisher, year, edition, pages
Association for Computing Machinery , 2021. p. 206-207
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Communication Systems
Identifiers
URN: urn:nbn:se:ri:diva-58315DOI: 10.1145/3457388.3458622OAI: oai:DiVA.org:ri-58315DiVA, id: diva2:1631329
Conference
CF '21: 18th ACM International Conference on Computing FrontiersMay 2021
Available from: 2022-01-24 Created: 2022-01-24 Last updated: 2023-05-22Bibliographically approved

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Marsh, IanPaladi, NicolaeAbrahamsson, HenrikGustafsson, Jonas

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