The current complexity of IoT systems and devices is a barrier to reach a healthy ecosystem,
mainly due to technological fragmentation and inherent heterogeneity. Meanwhile, the field …

Abstract In the Internet of Things (IoT) era, a large volume of data is continuously emitted
from a plethora of connected devices. The current network paradigm, which relies on …

The Cloud computing has already proven its worth to manage the computational-intensive
tasks of IoT applications. Despite its popularity, Cloud is not recommended for latency …

Fog computing has emerged as a promising technology that can bring cloud applications
closer to the devices at the network edge. The fog infrastructure contains mainly distributed …

The ubiquitous use of Internet-of-Things (IoT) is enabling a new era of wireless Sensor
Nodes (SN s) that can be subject to attacks like any other piece of hardware and software …

Today, cloud providers represent their individual services with several functional and non-
functional properties in various environments. Discovering and selecting an appropriate …

Fog computing is becoming popular as a solution to support applications based on
geographically distributed sensors that produce huge volumes of data to be processed and …

Monitoring will play an enabling role in the orchestration of next-gen Fog applications.
Particularly, monitoring of Fog computing infrastructures should deal with platform …

A drone or unmanned aerial vehicles (UAVs) is becoming a trending area for researchers
worldwide. UAV's contribution is increasing in day‐to‐day life, whether it is in a military zone …

Federated learning (FL) is widely used in edge‐cloud collaborative training due to its
distributed architecture and privacy‐preserving properties without sharing local data …