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Streaming Analytics in Edge-Cloud Environment for Logistics Processes

Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT,volume 592)


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.


  • Data analytics
  • Machine learning
  • Predictive maintenance
  • Aviation

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This work has been funded by the European Commission project H2020 UPTIME “Unified Predictive Maintenance System” (768634).

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Correspondence to Alexandros Bousdekis .

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von Stietencron, M. et al. (2020). Streaming Analytics in Edge-Cloud Environment for Logistics Processes. In: Lalic, B., Majstorovic, V., Marjanovic, U., von Cieminski, G., Romero, D. (eds) Advances in Production Management Systems. Towards Smart and Digital Manufacturing. APMS 2020. IFIP Advances in Information and Communication Technology, vol 592. Springer, Cham.

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-57996-8

  • Online ISBN: 978-3-030-57997-5

  • eBook Packages: Computer ScienceComputer Science (R0)