Fog Computing paradigm that provisions low-latency computing services at the edge
network, is a bonanza for supply chain computing resources in Internet of Things (IoT) …

Over the last few decades, Internet of Things (IoT) has become the spotlight area of research
within the Industries and Academics. Primarily, IoT devices are characterized by small and …

The number of connected sensors and devices is expected to increase to billions in the near
future. However, centralised cloud-computing data centres present various challenges to …

IoT paradigm exploits the Cloud Computing platform to extend its scope and service
provisioning capabilities. However, due to the location of the underlying IoT devices which is …

In order to lower latency and reduce energy consumption, edge computing proposes
offloading some computation-intensive tasks usually performed in the cloud onto nearby …

Fog computing overcomes the limitations of executing Internet of Things (IoT) applications in
remote Cloud datacentres by extending the computation facilities closer to data sources …

Resource management is the principal factor to fully utilize the potential of Edge/Fog
computing to execute real-time and critical IoT applications. Although some resource …

Modern Internet of Things (IoT) systems are increasingly leveraging deep neural networks
(DNNs) with the goal of enabling intelligence at the edge of the network. While applying …

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 …

As we are moving toward the Internet of Things (IoT) era, the number of connected physical
devices is increasing at a rapid pace. Mobile edge computing is emerging to handle the …