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A Smart City Lighting Case Study on an OpenStack-Powered Infrastructure.

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This summary is machine-generated.

This study integrates Internet of Things (IoT) paradigms with cloud infrastructure, specifically OpenStack, for smart city applications. The proposed application-agnostic approach enhances scalability and adaptability for device-focused workflows.

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AMQPCEPCoAPIaaSIoTMOMOpenStackRESTceilometercloudsmart city

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Area of Science:

  • Computer Science
  • Internet of Things
  • Cloud Computing

Background:

  • The proliferation of embedded and smart devices necessitates scalable and adaptable solutions for complex systems like smart cities.
  • Current solutions often lack flexibility, focusing on core mechanisms and failing to leverage infrastructure or adapt to diverse scenarios, especially those involving actuators.

Purpose of the Study:

  • To propose a flexible, cloud-based approach for managing the complexity of interconnected smart devices.
  • To integrate Internet of Things (IoT) paradigms with resource ecosystems using an application-agnostic framework.
  • To demonstrate the integration within a smart city context, specifically a smart lighting system.

Main Methods:

  • Leveraging OpenStack, a cloud Infrastructure as a Service (IaaS) framework, to create a device-centric environment.
  • Developing device-focused workflows that are application-agnostic.
  • Implementing and evaluating the integration using a smart park lighting scenario.

Main Results:

  • Successful integration of IoT principles with a cloud-oriented, device-centric environment.
  • Demonstration of key use cases including data collection, visualization, event detection, and coordinated reactions in a smart lighting system.
  • Validation of an application-agnostic approach over traditional application-specific solutions.

Conclusions:

  • The proposed OpenStack-based integration offers a scalable and flexible solution for managing smart city environments and IoT devices.
  • This approach addresses the limitations of existing solutions by providing adaptability and leveraging cloud infrastructure for advanced functionalities.