In the current scenario, Cloud computing is providing services to IoT-sensor based
applications in task offloading. In time-sensitive real-time applications, latency is a major …

The current thinking concerning computations required by Internet of Things (IoT)
applications is shifting toward fog computing instead of cloud computing, thereby achieving …

In today's Internet of Things research community, Cloud-fog framework is a potential
technology for Internet of Things to support energy consumption of an IoT system and delay …

With the proliferation of the Internet of Things (IoT), the current" cloud-only" architectures
cannot efficiently handle IoT's data processing and communications needs, while providing …

In order to improve the quality of experience in executing computation-intensive tasks of real-
time IoT applications in a fog-enabled IoT network, resource-constrained IoT devices can …

With the rapid advancement of Internet of Things (IoT) devices, a variety of IoT applications
that require a real-time response and low latency have emerged. Fog computing has …

Today, there exists a growing demand for Internet of Things (IoT) services in the form of
vehicle networks, smart cities, augmented reality, virtual reality, positioning systems, and so …

To improve the quality of service (QoS) needed by several applications areas, the Internet of
Things (IoT) tasks are offloaded into the fog computing instead of the cloud. However, the …

Fog computing has emerged as a revolutionary paradigm to serve the massive data
generated in the Internet of Things (IoT) environments. It can be considered a derivative of …

Nowadays, cloud computing leverages the capability of Internet-of-Things (IoT) applications
by providing computing resources as a form of virtual machine (VM) instances. However, the …