Comparison of Representative Microservices Technologies in Terms of Performance for Use for Projects Based on Sensor...

Area of Science:

• Computer Science
• Software Engineering
• Internet of Things (IoT)

Background:

• Data from sensors is vital across many fields, driving the popularity of IoT concepts.
• Application design choices, like microservices versus monolithic architecture, significantly impact IoT project success.
• Selecting the optimal programming technology is critical for efficient and effective IoT application development.

Purpose of the Study:

• To compare the performance and efficiency of different technologies for microservice-based IoT applications.
• To evaluate Spring Boot, Micronaut, and Quarkus in the context of sensor network data processing.
• To determine the impact of technology choice on energy consumption in resource-limited IoT environments.

Main Methods:

• Developed a book lending system with its server part implemented in three distinct versions.
• Each version utilized a different technology: Spring Boot, Micronaut, and Quarkus.
• Analyzed performance metrics focusing on efficiency and energy consumption.

Main Results:

• Performance and energy efficiency varied across Spring Boot, Micronaut, and Quarkus.
• The choice of technology directly influences the speed and optimality of IoT application development.
• Specific technologies demonstrated advantages in resource-constrained or energy-sensitive applications.

Conclusions:

• The selection of microservice architecture technologies like Spring Boot, Micronaut, or Quarkus has significant implications for IoT application performance and energy efficiency.
• Optimizing technology choices early in development is crucial for the success of sensor network applications, especially in telemedicine and scientific data collection.
• Further research into technology-specific optimizations can lead to more sustainable and efficient IoT solutions.