The recent advancements in Internet of Things (IoT) technology and the increasing amount of sensing devices that collect and/or generate massive sensor data streams enhances the use of streaming analytics for providing timely and meaningful insights. The current paper proposes a framework for supporting streaming analytics in edge-cloud computational environment for logistics operations in order to maximize the potential value of IoT technology. The proposed framework is demonstrated in a real-life scenario of a large transportation asset in the aviation sector.
CITATION STYLE
von Stietencron, M., Lewandowski, M., Lepenioti, K., Bousdekis, A., Hribernik, K., Apostolou, D., & Mentzas, G. (2020). Streaming Analytics in Edge-Cloud Environment for Logistics Processes. In IFIP Advances in Information and Communication Technology (Vol. 592 IFIP, pp. 245–253). Springer. https://doi.org/10.1007/978-3-030-57997-5_29
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