Fog computing provides a distributed infrastructure at the edges of the network, resulting in
low-latency access and faster response to application requests when compared to …

Delivering cloud-like computing facilities at the network edge provides computing services
with ultra-low-latency access, yielding highly responsive computing services to application …

Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …

Fog computing promises to extend cloud computing to match emerging demands for low
latency, location-awareness and dynamic computation. It thus brings data processing close …

Fog computing, similar to edge computing, has been proposed as a model to introduce a
virtualized layer between the end users and the back-end cloud data centers. Fog …

Contrary to using distant and centralized cloud data center resources, employing
decentralized resources at the edge of a network for processing data closer to user devices …

The fog computing paradigm has drawn significant research interest as it focuses on
bringing cloud-based services closer to Internet of Things (IoT) users in an efficient and …

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 …

Fog computing extends the cloud to where things are by placing applications closer to the
users and Internet of Things devices. The placement of those applications, or their services …

Fog computing is one of the promising technologies for realizing global‐scale Internet of
Things (IoT) applications as it allows moving compute and storage resources closer to IoT …