Modern distributed computing architectures support significant technological advances, such as AI and smart manufacturing. Each computing model is key to supporting advanced applications that ...

In the rapidly evolving world of IoT (Internet of Things), cloud computing has become a cornerstone for processing, analyzing, and storing large amounts of data. However, as real-time applications and ...

This Collection invites submissions of original research into techniques that facilitate the deployment of cloud, fog, and edge computing technologies, driving advancements in efficient data ...

Data is the backbone of tech innovation. Storing, processing and managing IT resources and data impacts your tech system’s efficiency and expected output. The advent of cloud computing revolutionized ...

Cloud vs edge computing represents a fundamental shift in how organizations manage, store, and process data. While traditional cloud computing centralizes massive computing resources in data centers, ...

Edge computing became popular due to its performance, security and cost benefits over traditional cloud architectures. But it's not always the best fit for distributed workloads. Edge computing refers ...