Streaming Analytics in Edge-Cloud Environment for Logistics Processes
| Autor: | Marco Lewandowski, Moritz von Stietencron, Alexandros Bousdekis, Katerina Lepenioti, Dimitris Apostolou, Karl Hribernik, Gregoris Mentzas |
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| Rok vydání: | 2020 |
| Předmět: |
Aviation
business.industry Computer science Data stream mining Cloud computing 02 engineering and technology Asset (computer security) Data science Predictive maintenance Analytics 020204 information systems 0202 electrical engineering electronic engineering information engineering Data analysis 020201 artificial intelligence & image processing Enhanced Data Rates for GSM Evolution business |
| Zdroj: | Advances in Production Management Systems. Towards Smart and Digital Manufacturing-IFIP WG 5.7 International Conference, APMS 2020, Novi Sad, Serbia, August 30 – September 3, 2020, Proceedings, Part II IFIP Advances in Information and Communication Technology IFIP Advances in Information and Communication Technology-Advances in Production Management Systems. Towards Smart and Digital Manufacturing IFIP Advances in Information and Communication Technology ISBN: 9783030579968 APMS (2) |
| ISSN: | 1868-4238 1868-422X |
| DOI: | 10.1007/978-3-030-57997-5_29 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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