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Design and Experimentation of a Distributed Information Retrieval-Hybrid Architecture in Cloud IoT Data Centers

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Internet of Things. 7th IFIPIoT 2024 International IFIP WG 5.5 Workshops (IFIPIoT 2024)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 738))

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Abstract

The proliferation of data from IoT devices has introduced challenges for efficient and accurate information retrieval in distributed Cloud Data Centers. This paper presents a Hybrid Distributed Information Retrieval (H-DIR) model optimized for IoT environments using advanced semantics and a hybrid query approach. The model aims to improve retrieval precision and efficiency by leveraging semantic concepts and contextual metadata, while also enhancing security and data privacy. Applied in a real industrial setting for gardening services, the H-DIR model demonstrates potential to increase revenue through economic quantification of services and value creation via faster preventive measures.

D. Tosi and R. Pazzi—These authors contributed equally to this work.

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Acknowledgements

This work was supported in part by project SERICS (PE00000014) under the NRRP MUR program funded by the EU - NGEU.

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Authors and Affiliations

  1. Università dell’Insubria, Via Ravasi 2, Varese, Italy

    Davide Tosi & Roberto Pazzi

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  1. Davide Tosi
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  2. Roberto Pazzi
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Correspondence to Davide Tosi .

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Editors and Affiliations

  1. Université Côte d’Azur, CNRS, I3S, France, Sophia Antipolis, France

    Gaëtan Rey

  2. Université Côte d'Azur, CNRS, I3S, France, Sophia Antipolis, France

    Jean-Yves Tigli

  3. Université Côte d’Azur, Polytech‘Lab, France, Sophia Antipolis, France

    Erwin Franquet

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Tosi, D., Pazzi, R. (2025). Design and Experimentation of a Distributed Information Retrieval-Hybrid Architecture in Cloud IoT Data Centers. In: Rey, G., Tigli, JY., Franquet, E. (eds) Internet of Things. 7th IFIPIoT 2024 International IFIP WG 5.5 Workshops. IFIPIoT 2024. IFIP Advances in Information and Communication Technology, vol 738. Springer, Cham. https://doi.org/10.1007/978-3-031-82065-6_2

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  • DOI: https://doi.org/10.1007/978-3-031-82065-6_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-82064-9

  • Online ISBN: 978-3-031-82065-6

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