The architecture employed by most of the researchers for the deployment of latency‐
sensitive Internet of Things (IoT) applications is fog computing. Fog computing architecture …

The traditional cloud computing technology provides services to a plethora of applications
by providing resources. These services support numerous industries for computational …

The modern paradigm of the Internet of Things (IoT) has led to a significant increase in
demand for latency-sensitive applications in Fog-based cloud computing. However, such …

Internet of Everything (IoE) encompasses smart devices, users, applications, and services
through the internet with digital features. Fog Computing is a recent emergent that bridges …

In today's world, the internet of things (IoT) is developing rapidly. Wireless sensor network
(WSN) as an infrastructure of IoT has limitations in the processing power, storage, and delay …

Fog computing, which provides low-latency computing services at the network edge, is an
enabler for the next generation Internet of Things (IoT) systems. In scenarios such as smart …

Fog computing aims to support applications requiring low latency and high scalability by
using resources at the edge level. In general, fog computing comprises several autonomous …

Due to an ever‐increasing number of Internet of Everything (IoE) devices, massive amounts
of data are produced daily. Cloud computing offers storage, processing, and analysis …

Delivering cloud-like computing facilities at the network edge provides computing services
with ultra-low-latency access, yielding highly responsive computing services to application …

In this emerging world of connected devices, the need for more computing devices with a
focus on the delay-sensitive application is critical. In this paper, we propose a priority-queue …