Dominik Grzelak

TL;DR: The presented architecture relies on an explicit context model, so a simple change of contexts can consistently vary the adaptation strategies for all layers, and reveals that explicit context modeling enables consistent meta-adaptation in multi-layer autonomic systems.

TL;DR: These are the main principles of fog computing, which will use as the fundamental paradigm developing a software toolkit considering the locality and connectivity of the devices in the underlying infrastructure to facilitate the integration of smart things within the network edge.

TL;DR: This chapter addresses the software engineering of distributed industrial cobotic applications with Human-in-the-Loop (human–robotic co-habitation), targeting distributed architectures of cobotic cells with several, also remote cobots, and presents the high-level synthesis of efficient low-power cobotic hardware-software components with real-time capabilities.

TL;DR: This work examines the promising context-aware computing and model-driven development paradigms that have directed the development of fog computing and IoT platforms alike and aggregate viable requirements for computational context models to be employed both for computation and also reasoning about the correctness of applications.