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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.

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

  • 会议论文

  • 发表日期：

    2025年

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  • Davide Tosi,
  • Roberto Pazzi

摘要

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.