Special Issue on Intelligent Architectures and Platforms for Private Edge Cloud Systems

The deployment of fifth-generation (5G) and 802.11-based networks has enabled a new class of smart applications, such as extended reality and real-time situational awareness. These applications have diverse requirements, including low latency, high data rates, and reliable access to sensors and actuators. To meet these requirements, novel edge computing systems, —such as cloudlets, mobile edge computing, and fog computing—have been proposed. However, deploying these systems requires either building new infrastructure or expanding existing ones. Additionally, edge computing systems often do not fully utilize the capabilities of modern end devices, which are now more powerful than the supercomputers of a decade ago.
In contrast to public edge computing solutions, private and local edge systems have recently been proposed to further reduce latency, mitigate security and privacy risks, and improve bandwidth efficiency and utilization of high-end devices.
This special issue of Elsevier's Future Generation Computer Systems explores the latest advancements in private and local edge computing architectures, platforms, resource management algorithms, and network management solutions. This editorial provides an overview of the contributions in this issue and highlights their key findings.