Fog computing enables a multitude of resource-constrained end devices (eg, sensors and
actuators) to benefit from the presence of fog nodes in their close vicinity, which can provide …

Industrial applications benefit from cloud computing deployments in terms of scalability,
manageability, and cost. However, cloud-only implementations do not meet the …

Fog computing aims to bring cloud computing capabilities to the edge of the network, closer
to the end user, enabling lower latencies, location awareness, and mobility support among …

Within the Internet of Things (IoT) era, a big volume of data is generated/gathered every
second from billions of connected devices. The current network paradigm, which relies on …

During the last decade, Cloud computing has efficiently exploited the economy of scale by
providing low cost computational and storage resources over the Internet, eventually leading …

Recently, both academia and industry have initiated research projects directed on fog
computing. Fog computing is not composed of a powerful server, but by the relatively weak …

Cloud Computing provides a distributed Internet based platform for data and application
hosting such as Internet of Things (IoT), cloud applications and social applications. Despite …

The emergence of fog computing has led to the design of multi-layer fog computing models
which are organized hierarchically. These models commonly dictate the hierarchical …

Fog Computing is emerging as the dominating paradigm bridging the compute and
connectivity gap between sensing devices and latency-sensitive services. However …

Recently, the wide adoption of Internet of Things (IoT) devices has introduced new
challenges that the current cloud-centric approach must overcome. The high-latency …