A microservice architecture for real-time IoT data processing: A reusable Web of things approach for smart ports
This addresses the need for scalable and maintainable IoT data processing in smart ports, though it appears incremental as it builds on existing microservice and Web of Things approaches.
The authors tackled the challenge of providing efficient, interoperable, and real-time smart services in IoT scenarios by proposing a reusable microservice architecture based on the Web of Things paradigm, with performance evaluation showing excellent results.
Major advances in telecommunications and the Internet of Things have given rise to numerous smart city scenarios in which smart services are provided. What was once a dream for the future has now become reality. However, the need to provide these smart services quickly, efficiently, in an interoperable manner and in real time is a cutting-edge technological challenge. Although some software architectures offer solutions in this area, these are often limited in terms of reusability and maintenance by independent modules, involving the need for system downtime when maintaining or evolving, as well as by a lack of standards in terms of the interoperability of their interface. In this paper, we propose a fully reusable microservice architecture, standardized through the use of the Web of things paradigm, and with high efficiency in real-time data processing, supported by complex event processing techniques. To illustrate the proposal, we present a fully reusable implementation of the microservices necessary for the deployment of the architecture in the field of air quality monitoring and alerting in smart ports. The performance evaluation of this architecture shows excellent results.