Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …

Today, relevant data are typically delivered to cloud-based servers for storing and analysis
in order to extract key features and enable enhanced applications beyond the basic …

Research in the Internet of Things (IoT) conceives a world where everyday objects are
connected to the Internet and exchange, store, process, and collect data from the …

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 is a distributed computing environment that extends the Cloud Computing
paradigm to fully support the Internet of Things (IoT) vision. It aims to push the intelligence …

The Fog computing paradigms are becoming popular means of utilizing resources optimally
by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast …

Abstract The Internet of Things (IoT) tsunami, public embracement, and the ubiquitous
adoption of smart devices are affecting virtually every industry, directly or indirectly. The …

Fog computing has been proposed as one of the promising technologies for the construction
of a scalable network infrastructure in the user's vicinity, with the purpose of serving the …

With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud
computing paradigm faces several challenges such as high latency, low capacity and …

With the success of the Internet of Things (IoT) and the widespread availability of mobile
devices, the traditional centralized cloud computing is facing severe network challenges (eg …