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Towards the Identification of Context in 5G Infrastructures

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Intelligent Computing (CompCom 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 998))

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Abstract

The evolution of communication networks, bringing the fifth generation (5G) of mobile communications in the foreground, gives the vertical industries opportunities that were not possible until now. Flexible network and computing infrastructure management can be achieved, hence bringing more freedom to the service providers, to maximize the performance of their computing resources. Still, challenges regarding the orchestration of these resources may arise. For this reason, an engine that can recognize possible factors that might affect the use of these resources and come up with solutions when needed in real-time, is required. In this paper, we present a novel Complex Event Processing engine that is enriched with Machine Learning capabilities in order to be fully adaptive to its environment, as a solution for monitoring application components deployed in 5G infrastructures. The proposed engine utilizes Incremental DBSCAN to identify the normal behavior of the deployed services and adjust the rules accordingly.

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Acknowledgment

This work has received funding from the European Unions Horizon 2020 research and innovation program under grant agreement No 761898 project MATILDA.

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Authors and Affiliations

  1. University of Piraeus, 18532, Piraeus, Attica, Greece

    Chrysostomos Symvoulidis, Ilias Tsoumas & Dimosthenis Kyriazis

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  1. Chrysostomos Symvoulidis
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  2. Ilias Tsoumas
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  3. Dimosthenis Kyriazis
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Correspondence to Chrysostomos Symvoulidis .

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Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Rahul Bhatia

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, UK

    Supriya Kapoor

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Symvoulidis, C., Tsoumas, I., Kyriazis, D. (2019). Towards the Identification of Context in 5G Infrastructures. In: Arai, K., Bhatia, R., Kapoor, S. (eds) Intelligent Computing. CompCom 2019. Advances in Intelligent Systems and Computing, vol 998. Springer, Cham. https://doi.org/10.1007/978-3-030-22868-2_31

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