Model-Based Approaches to the Internet of Things

This book gives an overview of existing models that cover the whole lifecycle of an IoT application, ranging from its design, implementation, deployment, operation, and monitoring to its final termination and retirement. Models provide abstraction and can help IoT application developers into creating more robust, secure, and reliable applications. Furthermore, adaptation of applications can be eased by using these models, leading to an increased dynamic of the developed IoT applications.

In the book, research of the last years in the area of model based approaches to the Internet of Things is described and these approaches are incorporated into the lifecycle of IoT applications.

Finally, use cases from different domains are introduced that show how these models could be applied in real-world applications.



Pascal Hirmer is a post-doctoral researcher at the Institute of Parallel and Distributed Systems of the University of Stuttgart. His research interests include the Internet of Things, distributed data stream processing, software deployment, as well as edge, fog, and cloud computing. His focus lies on data processing and communication in complex IoT environments. Applications for his research include Smart Factories, Smart Cities, and Smart Homes.

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