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Building an IoT Platform Based on Service Containerisation.

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The SCoT2.0 platform offers a scalable solution for the Internet of Things (IoT), enabling data acquisition, processing, and visualization for real-time and machine learning analysis. This containerized system supports diverse IoT applications and large-scale deployments.

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Internet of Thingsambient intelligenceplatform virtualisation

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Area of Science:

  • Computer Science
  • Engineering
  • Data Science

Background:

  • The proliferation of smart devices has led to complex Internet of Things (IoT) platforms requiring robust data handling capabilities.
  • Existing IoT platforms often struggle with the scale and heterogeneity of data from numerous sensors and actuators.
  • There is a need for adaptable, large-scale IoT systems capable of supporting both real-time processing and long-term machine learning analysis.

Purpose of the Study:

  • To present the SCoT2.0 platform, a generic-purpose IoT platform designed for acquiring, processing, and visualizing data.
  • To develop a large-scale, containerized system deployable on private clouds for various industry verticals.
  • To address the technical challenges and design choices in building a customized IoT platform for heterogeneous data.

Main Methods:

  • Extensive service containerization for modularity and scalability.
  • Development of a generic-purpose IoT platform supporting real-time data processing.
  • Integration of Machine Learning (ML)-based analysis for long-term data insights.
  • Validation through two distinct IoT projects involving 750 physical devices.

Main Results:

  • Successful deployment and validation of the SCoT2.0 platform in two diverse IoT projects.
  • Demonstration of the platform's capability to handle data from a large number of heterogeneous devices (750 physical devices).
  • Analysis of scaling issues and proposed solutions within the platform's components.

Conclusions:

  • The SCoT2.0 platform provides a scalable and flexible solution for managing complex IoT environments.
  • Containerization is an effective strategy for building robust and adaptable IoT platforms.
  • The platform is suitable for diverse real-world scenarios and can be deployed in private cloud environments.