Applications for the internet of things (IoT) have rapidly expanded, posing a number of
difficulties in terms of quality of service (QoS), delay, latency, and disconnections. These …

The unpredictable and huge data generation nowadays by smart computing devices like
(Sensors, Actuators, Wi-Fi routers), to handle and maintain their computational processing …

With the advent of the number of smart devices across the globe, increasing the number of
users using the Internet. The main aim of the fog computing (FC) paradigm is to connect …

The integration of the smart grid with the cloud computing environment promises to develop
an improved energy-management system for utility and consumers. New applications and …

IoT applications have become a pillar for enhancing the quality of life. However, the
increasing amount of data generated by IoT devices places pressure on the resources of …

Reducing delay and latency in the cloud computing environment is a challenge for the
present research community. This study performed a rigorous, comparative analysis of the …

There is a growing requirement for Internet of Things (IoT) infrastructure to ensure low
response time to provision latency-sensitive real-time applications such as health …

The internet of things (IoT) creates immense volume of objects online. But cloud computing
isn't suited to environmental demands. Hence, fog computing (FC) emerged which shifts the …

The proliferation of Internet of Things (IoT) devices has given rise to applications that
demand real-time responses and minimal delay. Fog computing has emerged as a suitable …

Fog computing, an emerging paradigm, extends cloud capabilities to the network's edge,
enhancing real-time data processing and analysis. This study focuses on optimizing fog …