Fog computing brings cloud close to end-users and data sources by enabling computation
and storage at the edges of the network. An application can have some of its components …

Traditional Cloud model is not designed to handle latency-sensitive Internet of Things
applications. The new trend consists on moving data to be processed close to where it was …

Fog computing brings cloud closer to end-users and data sources by enabling computation
at the edge of the network. Low latency is the main benefit. IoT applications are often latency …

Fog computing envisions computation logic to be moved at the edge of the Internet where
data needs to be quickly elaborated, decisions made, and actions performed. Delegating to …

With the increase in popularity of Internet of Things (IoT), pervasive computing, healthcare
services, sensor networks, and mobile devices, a lot of data is being generated at the …

The Internet of Things (IoT) conceives a world where everyday objects are able to join the
Internet and exchange data as well as process, store, collect them from the surrounding …

A new era of automated services has permeated user's daily lives thanks to paradigms such
as Smart City and the Internet of Things. This shift from traditional applications is possible …

The distant data centre-centric Internet of Things systems face the latency issue especially in
the real-time-based applications. Recently, Fog Computing models have been introduced to …

Fog computing has emerged as a promising solution for Internet of Things. It enables
services along the continuum from the edge to the cloud to reduce latency and mobile traffic …

Traditional cloud-based infrastructures are not enough for the current demands of Internet of
Things (IoT) applications. Two major issues are the limitations in terms of latency and …