Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

IoT systems are becoming an essential part of our environment. Smart cities, smart
manufacturing, augmented reality, and self-driving cars are just some examples of the wide …

Abstract Internet of Things (IoT) applications are exposed to harsh conditions due to factors
such as device failure, network problems, or implausible sensor values. We investigate how …

Modeling languages have gained ever-increasing importance for the Internet of Things (IoT)
domain for improving the productivity and quality of IoT developments. In this study, we …

Today's Internet of Things (IoT) applications are mostly developed as a bundle of hardware
and associated software. Future cross-manufacturer app stores for IoT applications will …

Internet of Things (IoT) devices and the software they execute are often strongly coupled
with vendors preinstalling their software at the factory. Future IoT applications are expected …

The current evolution of cloud-based computing opens up a lot of possibilities for software
development. In the near future, complex systems in various domains such as Space …

The conventional cloud‐centric Internet of Things (IoT) application fails to meet the latency
requirement of time‐critical applications. The idea of edge and fog computing arrived to …

While the next generation of IoT systems need to perform distributed processing and
coordinated behaviour across IoT, Edge and Cloud infrastructures, their development and …

With increasing interdependencies and evolving threats, maintaining operational continuity
in critical systems has become a significant challenge. This paper presents the DYNABIC …