Fog and cloud computing are emerging paradigms that enable distributed and scalable data
processing and analysis. However, these paradigms also pose significant challenges for …

Fog computing seeks the attention of researchers by bringing a revolution in the Internet of
Things (IoT). Fog computing emerged as a complement to cloud computing. It extends cloud …

With the growing popularity of the Internet of Things (IoT), the goal of this study is to examine
fog computing (FC) as an enhanced supplement to cloud architecture for monitoring the …

Healthcare applications like emergency response systems are one of the Internet of Things
(IoT) applications. These applications are classified as application-sensitive, where delay …

The scientific workflows are a set of predefined tasks aiming to achieve a target goal state.
Cloud computing provides an appropriate environment for orchestrating such scientific …

Cloud services are the cutting edge technology, however the growing demand for the
internet of things has certain limitations which are high latency expectation and high cost of …

In the Internet of Things (IoT) ecosystem, some processing is done near data production
sites at higher speeds without the need for high bandwidth by combining Fog Computing …

With the rapid development of the network, a huge amount of data will be generated.
Existing technologies usually use cloud computing to process data. However, when all the …

The Internet of Things (IoT) paradigm is at the forefront of present and future research
activities. The huge amount of sensing data from IoT devices needing to be processed is …

During the past few years, powerful Fog computing has become a perfect counterpart to the
cloud computing where the resources are dealing comfortably with computational …