In recent years, fog computing has emerged as a computing paradigm to support the
computationally intensive and latency-critical applications for resource limited Internet of …

Abstract Internet of Things (IoT) system comprises of many interrelated computing devices
and smart sensors with limited battery, processing, and storage capabilities. Due to its …

Fog computing systems have been widely integrated in IoT-based applications to improve
quality of services (QoS) such as low response service delays. This improvement is enabled …

As latency is the key performance metric for IoT applications, fog nodes co-located with
cellular base stations can move the computing resources close to IoT devices. Therefore …

In the IoT-based systems, the fog computing allows the fog nodes to offload and process
tasks requested from IoT-enabled devices in a distributed manner instead of the centralized …

Fog computing system is able to facilitate computation-intensive applications and emerges
as one of the promising technology for realizing the Internet of Things (IoT). By offloading the …

Emerging technologies such as the Internet of Things (IoT) require latency-aware
computation for real-time application processing. In IoT environments, connected things …

Fog computing system is an emergent architecture for providing computing, storage, control,
and networking capabilities for realizing Internet of Things. In the fog computing system, the …

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 …

With the rapid development of the internet of things (IoT) devices and applications, the
necessity to provide these devices with high processing capabilities appears to run the …