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Distributed Data Service for Data Management in Internet of Things Middleware.

Ruben Cruz Huacarpuma1, Rafael Timoteo de Sousa Junior2, Maristela Terto de Holanda3

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Summary

A new Distributed Data Service (DDS) efficiently collects and processes Internet of Things (IoT) data. It enables middleware systems to share data services and supports real-time querying for smart environments.

Keywords:
Internet of Things (IoT)IoT middlewareNoSQLdata aggregationdata collectionreal time

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Area of Science:

  • Computer Science
  • Data Engineering
  • Distributed Systems

Background:

  • The Internet of Things (IoT) involves numerous connected devices generating vast amounts of data.
  • Existing IoT middleware systems often operate in silos, limiting data sharing and interoperability.
  • Efficient data collection, processing, and querying are critical for leveraging IoT capabilities.

Purpose of the Study:

  • To introduce a novel Distributed Data Service (DDS) for collecting and processing data in IoT environments.
  • To enable multiple, distinct IoT middleware systems to share common data services through a loosely-coupled provider.
  • To propose a data aggregation component for efficient real-time data querying in IoT.

Main Methods:

  • A new specification for DDS functionalities was developed.
  • Techniques for convenient and efficient data collection, filtering, and storage in IoT were conceived.
  • A data aggregation component was designed to support real-time querying.
  • The proposed DDS was evaluated in two case studies using a simulated smart home system.

Main Results:

  • The DDS demonstrated effective data collection and aggregation capabilities when interacting with the UIoT middleware.
  • Performance comparison showed the DDS's data collection efficiency against the Kaa middleware.
  • The proposed DDS facilitates the sharing of common data services among different IoT middleware systems.

Conclusions:

  • The developed Distributed Data Service (DDS) provides an efficient solution for managing data in the Internet of Things (IoT).
  • The DDS enhances interoperability by allowing distinct IoT middleware systems to share data services.
  • The data aggregation component significantly improves real-time data querying performance in IoT applications.