IoT-Edge-Fog Computing presents a trio-logical model for decentralized computing in a time-
sensitive manner. However, to address the rising need for real-time information processing …

Load scheduling across distributed fog computing nodes has been a major challenge to
meet the increased demand of real-time data analysis, and time-sensitive decision-making …

Load scheduling has been a major challenge in distributed fog computing environments for
meeting the demands of decision-making in real-time. This research proposes an …

Advancement in IoT research encouraged the generation of ubiquitous computing devices
and changed their way of utilization. The high spawning of data through these computing …

Offloading the dynamic tasks with fog computing is envisioned as a viable option for
prolonging resource-limited constraints and improving the computational and …

Fog computing has been prioritized over cloud computing in terms of latency-sensitive
Internet of Things (IoT) based services. We consider a limited resource-based fog system …

Fog computing (FC) has recently emerged as a promising new paradigm that provides
resource-intensive Internet of Things (IoT) applications with low-latency services at the …

The Internet-of-Things (IoT) is a network of physical objects that communicate and exchange
data between them over the Internet. These objects, or things, generate a massive amount of …

Fog-Cloud computing has become a promising platform for executing Internet of Things (IoT)
tasks with different requirements. Although the fog environment provides low latency due to …

As an extension of the cloud, a fog computing environment facilitates the deployment of
Internet of Things (IoT) applications by shifting the computing, storage and networking …