Fog computing combines cloud services with geographically distributed resources near the
network edge to offer computational offloading possibilities to end devices, featuring low …

Widespread adoption of mobile augmented reality (AR) and virtual reality (VR) applications
depends on their smoothness and immersiveness. Modern AR applications applying …

Fog computing (FC) as an extension of cloud computing provides a lot of smart devices at
the network edge, which can store and process data near end users. Because FC reduces …

The energy demand for Internet of Things (IoT) applications is increasing with a rise in IoT
devices. Rising costs and energy demands can cause serious problems. Fog computing …

Resource allocation and task scheduling in the Cloud environment faces many challenges,
such as time delay, energy consumption, and security. Also, executing computation tasks of …

Edge computing enables developers to deploy their services on compute resources
deployed closer to the users. The abstraction requires powerful orchestration capabilities …

Edge computing seeks to enable applications with strict latency requirements by utilizing
compute resources deployed closer to the users. The diverse, dynamic, and constrained …

Article information: The high growth in Internet-of-Things (IoT) data has resulted in the typical
Cloud architecture creating a bottleneck that degrades the quality of Cloud-based services …

The use of fog computing in the Internet of Things (IoT) has emerged as a crucial solution,
bringing cloud services closer to end users to process large amounts of data generated …

Cloud computing has created a radical shift in expanding the reach of application usage and
has emerged as a de-facto method to provide low-cost and highly scalable computing …