The Fog computing paradigm utilises distributed, heterogeneous and resource-constrained
devices at the edge of the network for efficient deployment of latency-critical and bandwidth …

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

Abstract The Function‐as‐a‐Service (FaaS) paradigm has a lot of potential as a computing
model for fog environments comprising both cloud and edge nodes, as compute requests …

With rapid developments of the Internet of Things (IoT) applications in recent years, their use
to facilitate day-to-day activities in various domains for enhancing the quality of human life …

Divers and the huge amount of data produced by the Internet of Things (IoT) applications on
the one hand, and inherent limitations of local equipment to handle these data, on the other …

Recently, the concept of cloud computing has been extended towards the network edge.
Devices near the network edge, called fog nodes, offer computing capabilities with low …

This paper presents an all-inclusive review of the optimization methods and their
applications in fog computing. We put forward a taxonomy of the optimization techniques …

Software changes are frequent and inevitable. How-ever, erroneous software changes may
cause failures and incidents, degrading user experience and system stability. Thus, it is …

Abstract In Internet of Things (IoT) data processing, cloud computing alone does not suffice
due to latency constraints, bandwidth limitations, and privacy concerns. By introducing …

Abstract Internet of Things (IoT) represents a new generation of information and
communication technology for anyone, anytime and anywhere. Cloud service‐based IoT …