Veröffentlichung auf der Automation 2019

    Die Veröffentlichung "Flooded Edge Gateways: Real-Time Aggregation of High-Density Data Using Complex Event Processing and Machine Learning" wurde auf der Automation 2019 (20. Leitkongress der Mess- und Automatisierungstechnik) in Baden-Baden akzeptiert:

    Flooded Edge Gateways: Real-Time Aggregation of High-Density Data Using Complex Event Processing and Machine Learning
    Jesko Elsner, Hochschule Albstadt-Sigmaringen, Albstadt;
    Rainer Mueller, HTWG Konstanz, Konstanz;
    Sebastian Thümmel, Sybit GmbH, Radolfzell;

    Abstract

    Increasing numbers of internet-compatible devices, in particular in the context of IoT, cause increasing amounts of data. The processing and analysis of a continuously growing amount of data in real-time by means of cloud platforms cannot be guaranteed anymore. Approaches of Edge Computing decentralize parts of the data analysis logics towards the data sources in order to control the data transfer rate to the cloud through pre-processing with pre-defined quality-of-service parameters. In this paper, we present a solution for preventing overloaded gateways by optimizing the transfer of IoT data through a combination of Complex Event Processing and Machine Learning. The presented solution is completely based on open-source technologies and can therefore also be used in smaller companies.