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 …

Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …

The advent of new cloud-based applications such as mixed reality, online gaming,
autonomous driving, and healthcare has introduced infrastructure management challenges …

This study compares three evolutionary algorithms for the problem of fog service placement:
weighted sum genetic algorithm (WSGA), non-dominated sorting genetic algorithm II (NSGA …

With the increasing stringent QoS constraints (eg, latency, bandwidth, jitter) imposed by
novel applications (eg, e-Health, autonomous vehicles, smart cities, etc.), as well as the …

Over the past decade, IoT-orchestrated frameworks have demonstrated significant
advantages in enhancing the performance of mission-critical applications. However …

Abstract The Cloud to Fog continuum is a very dense and complex scenario. At the core
level (Cloud) resources are vast, whilst they become scarce at the Edge (Fog). This …

The fast growth in the amount of connected devices with computing capabilities in the past
years has enabled the emergence of a new computing layer at the Edge. Despite being …

The fog paradigm extends the cloud capabilities at the edge of the network. Fog computing-
based real-time applications (Online gaming, 5G, Healthcare 4.0, Industrial IoT, autonomous …

IoT systems are becoming an essential part of our environment. Smart cities, smart
manufacturing, augmented reality, and self-driving cars are just some examples of the wide …