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    Nordic e-Infrastructure Tomorrow

    6th Nordic e-Infrastructure Collaboration Conference, NeIC 2024, Tallinn, Estonia, May 27–29, 2024, Proceedings

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    Contributor(s)
    Azab, Abdulrahman (editor)
    Malkiewicz, Tomasz (editor)
    Language
    English
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    Abstract
    This open access book constitutes the proceedings of the 6th Nordic e-Infrastructure Collaboration Conference, NeIC 2024, which took place in Tallinn, Estonia, in May 2024. The 14 papers included in this book were carefully reviewed and selected from 39 submissions. They deal with e-infrastructure focusing on topics like FAIR data stewardship, high-performance computing (HPC), sensitive data management, federated resource management, quantum computing, and AI-driven e-infrastructure solutions.
    URI
    https://library.oapen.org/handle/20.500.12657/100787
    Keywords
    Computer Science; software notations and tools; information systems applications; network services; FAIR Data; federated resource management; containers; high-performance computing; artificial intelligence; machine learning; quantum computing; competence building; cyber security; confidential computing; sensitive data
    DOI
    10.1007/978-3-031-86240-3
    ISBN
    9783031862397
    Publisher
    Springer Nature
    Publisher website
    https://www.springernature.com/gp/products/books
    Publication date and place
    Cham, 2025
    Grantor
    • NordForsk - [...]
    • UK Research and Innovation
    Imprint
    Springer Nature Switzerland
    Series
    Communications in Computer and Information Science, 2398
    Classification
    Artificial intelligence
    Cloud computing
    Security and fire alarm systems
    Open source and other operating systems
    Business mathematics and systems
    Pages
    198
    Rights
    http://creativecommons.org/licenses/by/4.0/
    • Imported or submitted locally

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    License

    • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

    Credits

    • logo EU
    • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

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