To support the large and various applications generated by the Internet of Things (IoT), Fog
Computing was introduced to complement the Cloud Computing and offer Cloud-like …

Fog computing aims at extending the cloud towards the Internet of things so to achieve
improved quality of service and to empower latency‐sensitive and bandwidth‐hungry …

In recent years, fog computing has emerged as a computing paradigm to support the
computationally intensive and latency-critical applications for resource limited Internet of …

A steady increase in Internet-of-Things (IoT) applications needing large-scale computation
and long-term storage has lead to an overreliance on cloud computing. The resulting …

In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …

With the increasing use of the Internet of Things (IoT) in various fields and the need to
process and store huge volumes of generated data, Fog computing was introduced to …

Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

The Internet of Things (IoT) requires a new processing paradigm that inherits the scalability
of the cloud while minimizing network latency using resources closer to the network edge …

To this day, the Internet of Things (IoT) continues its explosive growth. Nevertheless, with the
exceptional evolution of traffic demand, existing infrastructures are struggling to resist. In this …

The fog-computing paradigm complements cloud computing to support the deployment and
execution of latency-sensitive applications at the network edge by offering enhanced …