International Workshop on Model-Driven Engineering for the Internet of Things (MDE4IoT) @ MODELS
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By 2020, Gartner envisions that 21 billion Internet-of-Things (IoT) endpoints will be in use, representing great business opportunities. However, To unleash the full potential of IoT and flourishing innovations in application domains such as eHealth or smart city, it is critical to facilitate the creation and operation of IoT Systems. IoT systems are typically complex, large scale, distributed, and running in open context. Coordinated behavior across IoT, edge, and cloud infrastructures need to be managed. Besides, the trustworthiness of such systems is critical ranging from business critical to safety critical. The ability to continuously evolve and adapt these systems is decisive to ensure and increase their trustworthiness, quality, and user experience.
On the one hand, Model-Driven Engineering (MDE) techniques can support the development and operation of IoT systems. For instance, to manage abstractions in IoT systems definition and to provide means to automate some of the development and operation activities of IoT systems - e.g., domain-specific modeling languages can provide a way to represent different aspects of systems leveraging a heterogeneous software and hardware IoT infrastructure and to generate part of the software to be deployed on it. On the other hand, the application of modeling techniques in the IoT poses new challenges for the model-driven software development community. For instance, because IoT systems typically operate in a changing and often unpredictable environment, it is impossible to anticipate all the adaptations a system may face when operating. There is thus an urgent need for mechanisms to facilitate or automate the maintenance of IoT systems and ensure their trustworthiness.