The implementation of the Internet of Things and 5G communications has pushed
centralized cloud computing toward edge computing resulting in a paradigm shift in …

Abstract Many Internet of Things (IoT) systems generate a massive amount of data needing
to be processed and stored efficiently. Cloud computing solutions are often used to handle …

Energy management systems, both at the level of end‐users and companies and
organizations, are migrating from a centralized way to cloud‐based environments, thus …

In the near future, the number of Internet connected objects is expected to be between 26-50
billion devices. This figure is expected to grow even further due to the production of …

Recent advancements in distributed systems have enabled deploying low-latency and
highly resilient edge applications close to the IoT domain at the edge of the network. The …

Abstract The Internet of Things is currently one of the most representative sources of Big
Data. It can acquire real-time data from multiple spatially distributed points, allowing for the …

Cyber-physical systems (CPS) play an important role in the implementation of new Industry
4.0 solutions, acting as the backbone infrastructure to host distributed intelligence …

During the last decade, a large number of different definitions and taxonomies of Internet of
Things (IoT) systems have been proposed. This has resulted in a fragmented picture and a …

The use of emerging technologies such as cloud computing, Internet of Things, and Big
Data, is increasing as tools to assist the management of data and information related to …

Engineering Internet of Things (IoT) systems is a challenging task partly due to the
dynamicity and uncertainty of the environment including the involvement of the human in the …