Despite the rapid growth and advancement in the Internet of Things (IoT), there are critical
challenges that need to be addressed before the full adoption of the IoT. Data privacy is one …

Internet of Things (IoT) allows billions of physical objects to be connected to collect and
exchange data for offering various applications, such as environmental monitoring …

Recent developments in the Internet of Things (IoT) and real‐time applications, have led to
the unprecedented growth in the connected devices and their generated data. Traditionally …

Fog nodes are implemented near to end‐users Internet of Things (IoT) devices, which
mitigate the impact of low latency, location awareness, and geographic distribution …

Regarding real-time data processing, technological innovations like the Internet of Things
(IoTs) need latency-sensitive computation. The interconnected devices in IoT systems …

Systems based on fog computing produce massive amounts of data; accordingly, an
increasing number of fog computing apps and services are emerging. In addition, machine …

Today, relevant data are typically delivered to cloud-based servers for storing and analysis
in order to extract key features and enable enhanced applications beyond the basic …

With the increasing advancement in the applications of the Internet of Things (IoT), the
integrated Cloud Computing (CC) faces numerous threats such as performance, security …

Over the last decade, data processing shifted from cloud computing to the local processing
environment named Fog computing. Fog computing is an extension of cloud computing …

The Fog computing paradigms are becoming popular means of utilizing resources optimally
by the IoT devices, extending quality of service to the vicinity of the user, and achieve fast …