An IoT Platform Based on Microservices and Serverless Paradigms for Smart Farming Purposes

Area of Science:

• Computer Science
• Engineering
• Information Technology

Background:

• The proliferation of connected devices across various domains (factories, cities, health, agriculture) presents challenges like device heterogeneity and scalability.
• Internet of Things (IoT) platforms act as middleware, connecting devices, users, and applications in cyber-physical systems.
• Existing IoT solutions face hurdles in managing diverse devices, ensuring reliability, energy efficiency, and third-party usability.

Purpose of the Study:

• To propose an IoT-agnostic architecture that enhances scalability, stability, interoperability, and reusability.
• To highlight the central role of an IoT platform within a broader ecosystem of interconnected tools.
• To introduce a specific technological proposal, SEnviro Connect, for this architecture.

Main Methods:

• Utilizing computing paradigms such as microservices architecture and serverless computing.
• Developing an IoT-agnostic architecture focused on platform integration.
• Implementing and validating the SEnviro Connect proposal in a smart farming scenario.

Main Results:

• The proposed architecture, SEnviro Connect, was validated in a smart farming IoT deployment.
• Five SEnviro nodes were deployed to optimize wine production.
• A comprehensive performance evaluation demonstrated the platform's scalability and stability.

Conclusions:

• The developed IoT-agnostic architecture effectively addresses challenges in heterogeneous IoT environments.
• The SEnviro Connect platform proves to be a scalable and stable solution for IoT applications.
• The integration of microservices and serverless computing enhances the flexibility and reusability of IoT solutions.