A Unified Framework for 5G Network Management Tools

Jukka K. Nurminen, Harrison Mfula

    Research output: Chapter in Book/Report/Conference proceedingConference article in proceedingsScientificpeer-review

    3 Citations (Scopus)

    Abstract

    Limitations in the software architecture of current network management tools such as lack of support for combined batch and real time data processing, adaptive machine learning, support for heterogeneous data sources and the fragmentation of emerging solutions needs to be addressed in order to create a solid and forward leaning foundation for implementing 5G solutions. To address these limitations, this paper introduces the extended lambda architecture (ELA). It focuses on bringing agility and continuous learning based decision making support into the design of a unified architectural framework for new network management tools by combining batch and real time data processing with adaptive machine learning in a simple Monitor-Analyze-Plan-Execute over a shared Knowledge (MAPE-K) loop. The benefits of using this architecture are evaluated using a proof of concept (PoC) implementation of a reliable and proactive tool for detection and compensation of cell outages in a simulated 5G network.

    Original languageEnglish
    Title of host publicationIEEE 11th International Conference on Service-Oriented Computing and Applications, SOCA 2018
    PublisherIEEE Institute of Electrical and Electronic Engineers
    Pages41-48
    ISBN (Electronic)978-1-5386-9133-5
    DOIs
    Publication statusPublished - 2 Jan 2019
    MoE publication typeA4 Article in a conference publication
    Event11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018 - Paris, France
    Duration: 20 Nov 201822 Nov 2018

    Publication series

    SeriesIEEE International Conference on Service-Oriented Computing and Applications
    ISSN2163-2871

    Conference

    Conference11th IEEE International Conference on Service-Oriented Computing and Applications, SOCA 2018
    Country/TerritoryFrance
    CityParis
    Period20/11/1822/11/18

    Keywords

    • 5G
    • Big data
    • Lambda architecture
    • Machine learning
    • Self-organizing networks

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