Abstract Edge Artificial Intelligence (AI) incorporates a network of interconnected systems
and devices that receive, cache, process, and analyse data in close communication with the …

With the growing demand for openness, scalability, and granularity, mobile network function
virtualization (NFV) has emerged as a key enabler for the most of mobile network operators …

As cloud services expand, the need to improve the performance of data center infrastructure
becomes more important. High-performance computing, advanced networking solutions …

Future communication networks are envisioned to satisfy increasingly granular and dynamic
requirements to accommodate the application and user demands. Indeed, novel immersive …

Edge computing is a viable approach to improve service delivery and performance
parameters by extending the cloud with resources placed closer to a given service …

Mobile Edge Computing (MEC) brings the benefits of cloud computing, such as computation,
networking, and storage resources, close to end users, thus reducing end-to-end latency …

Edge intelligence (EI) refers to a set of connected systems and devices for artificial
intelligence (AI) data collected and learned near the data collection site. The EI model …

Nowadays a wide range of applications is constrained by low-latency requirements that
cloud infrastructures cannot meet. Multiaccess Edge Computing (MEC) has been proposed …

With the integration of virtualization technologies, the Internet of Things (IoT) is expanding its
capabilities and quickly becoming a complex ecosystem of networked devices. The Social …

Applications that are constrained by low-latency requirements can hardly be executed on
cloud infrastructures, given the high network delay required to reach remote servers. Multi …