Summary The Internet of Things is underpinned by the global penetration of network‐
connected smart devices continuously generating extreme amounts of raw data to be …

The burgeoning growth of the Internet of Things (IoT) has prompted a paradigm shift in
computing architectures, leading to the emergence and rapid evolution of edge computing …

Enabling data processing at the network edge, as close to the actual source of data as
possible, is a challenging, yet realistic goal to be achieved by the Internet of Things (IoT) …

LE-STREAM is a framework for IoT data stream processing. Data processing in IoT is
challenging due to its dynamic and heterogeneous nature, and the massive amount of …

The cloud computing paradigm underpins the Internet of Things (IoT) by offering a
seemingly infinite pool of resources for processing/storing extreme amounts of data …

In an edge deployment model, Internet-of-Things (IoT) applications, eg for building
automation or video surveillance, must process data locally on IoT devices without relying …

Cloud and Fog computing have established a convenient and widely adopted approach for
computation offloading, where raw data generated by edge devices in the Internet of Things …

To enable and support smart environments, a recent ICT trend promotes pushing
computation from the remote Cloud as close to data sources as possible, resulting in the …

The Internet of Things (IoT) is impacting the world's connectivity landscape. More and more
IoT devices are connected, bringing many benefits to our daily lives. However, the influx of …

The Internet of Things continuously generates avalanches of raw sensor data to be
transferred to the Cloud for processing and storage. Due to network latency and limited …