A model-driven engineering approach for the service integration of IoT systems

Abstract

With the development of IoT devices and web services, the objects of the real world are more interconnected, which allows applications to extend their characteristics in different fields, including industrial or home environments, among other possible examples such as health, trade, transport, or agriculture. However, this development highlights the challenge of interoperability, because devices are heterogeneous and use different communication protocols and different data formats. For this reason, we propose a model for pointto-point integration in three-layer IoT applications: (a) hardware, which corresponds to the physical objects (controller, sensor and actuator), (b) communication, which is the bridge that allows the exchange of data between a MQTT [36] queue and REST web services, and (c) integration, which establishes a sequence of transactions to coordinate the components of the system. For this purpose, a metamodel, a graphic editor and a code generator have been developed that allow the developer to design IoT systems formed by heterogeneous components without having in-depth knowledge of every hardware and software platform. In order to

Approach by modeling to generate an e-commerce web code from laravel model

“…Alulema et al [23] offer a meta-model for incorporating IoT data into RESTful cloud services. The interoperability of diverse IoT objects and their link to centralized systems are stressed.…”

Model-driven architecture: generating models from Symfony framework

“…In the work of Alulema et al [24], IoT data may be included into REST ful cloud services using a meta-model provided. The connection between various IoT items and centralized systems, as well as their interoperability, is emphasized.…”

Model-Driven Engineering Techniques and Tools for Machine Learning-Enabled IoT Applications: A Scoping Review

“…Furthermore, several technologies, such as programming embedded systems, communication, networks, data science, and web engineering [ 8 ]. To successfully implement IoT applications that are often quite complex, efficient software development methodologies, approaches, and solutions have been provided to address various issues, including heterogeneity, collaborative development, reusability of software artifacts, and self-adaptation [ 9 , 10 ].…”

“…One such proposal is model-driven engineering (MDE), which is a general engineering approach that focuses on using models as the primary artifact for software development [ 10 ]. In MDE, models can be used to capture the structure and behavior of a system, and these models can then be transformed into the final implementation of the system using model transformations and code generators.…”

“…According to the MDE paradigm, a key artifact is the “model”; thus, the whole software development cycle revolves around models. Many MDE approaches aim to generate code for various platforms automatically [ 10 ]. An MDE approach can follow two general stages.…”