Fog computing has been recently introduced to bridge the gap between cloud resources
and the network edge. Fog enables low latency and location awareness, which is …

Fog computing aims to support novel real-time applications by extending cloud resources to
the network edge. This technology is highly heterogeneous and comprises a wide variety of …

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 …

Fog computing extends the capacities of the cloud to the edge of the network, near the
physical world, so that Internet of Things (IoT) applications can benefit from properties such …

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 …

In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a
great extent. To support the computational demand of real-time latency-sensitive …

Many future innovative computing services will use Fog Computing Systems (FCS),
integrated with Internet of Things (IoT) resources. These new services, built on the …

Fog computing is a new development paradigm which extends the computation, storage and
management capabilities of cloud computing at the edge of networks. However, users and …

In the emerging area of the Internet of Things (IoT), the exponential growth of the number of
smart devices leads to a growing need for efficient data storage mechanisms. Cloud …

Despite the increasing usage of cloud computing, there are still issues unsolved due to
inherent problems of cloud computing such as unreliable latency, lack of mobility support …