Following the emergence of Internet of Things (IoT) and edge computing technologies and
the development of distributed applications with strict Quality of Service (QoS) requirements …

This perspective paper introduces a novel framework for container orchestration called
CODECO. The CODECO orchestration framework relies on a data-network-computing …

Mobile Augmented Reality (AR) is gaining traction as a compelling application due to recent
advancements in hardware and software. Previous studies have suggested that distributing …

Edge computing provides resources for IoT workloads at the network edge. Monitoring
systems are vital for efficiently managing resources and application workloads by collecting …

Edge computing requires the complex software interaction of geo-distributed,
heterogeneous components. The growing research and industry interest in edge computing …

Researchers have already begun experimenting with next-generation cellular technologies
and algorithms to enable use cases that lie beyond the scope of the current 5G standard, eg …

One of the main challenges of edge computing is to establish efficient mechanisms for
computing and offloading jobs in edge systems, such that their computation time and latency …

Mobile Edge Clouds (MECs) are envisioned to complement today's centralized clouds by
placing computing and storage resources at the edge of the network to reduce overall …

Deep neural network (DNN) video analytics is crucial for autonomous systems such as self-
driving vehicles, unmanned aerial vehicles (UAVs), and security robots. However, real-world …

Up-and-coming technologies like Augmented Reality, Internet of Things and Artificial
Intelligence are trending towards increased use of edge computing philosophy, moving …