In recent times, the Internet of Things (IoT) applications, including smart transportation, smart
healthcare, smart grid, smart city, etc. generate a large volume of real-time data for decision …

Fog computing is a paradigm that brings computational resources and services to the
network edge in the vicinity of user devices, lowering latency and connecting with cloud …

There has been rapid development in the number of Internet of Things (IoT) connected
nodes and devices in our daily life in recent times. With this increase in the number of …

In recent years, the number of objects connected to the internet have significantly increased.
Increasing the number of connected devices to the internet is transforming today's Internet of …

In today's internet of things (IoT), a vast amount of data is produced by numerous connected
devices. Previously, the data produced was uploaded to thee cloud for communicating with …

In this article, we present a comprehensive survey on time-sensitive applications
implemented in fog computing environments. The goal is to research what applications are …

The implementation of Internet-of-Things (IoT) applications faces several challenges in
practice, such as compliance with Quality-of-Service requirements, resource constraints, and …

Developing and releasing multiservice applications rely upon a pipeline of automation tools
known as Continuous Integration/Continuous Deployment. Among those tools, continuous …

Context: Fog computing paradigm consists of resource constrained devices that support
data processing and service provisioning at the edge of the network. Simulation frameworks …

Currently, the internet of things (IoT) is a technology entering various areas of society, such
as transportation, agriculture, homes, smart buildings, power grids, etc. The internet of things …