In recent years, with the rapid development of current Internet and mobile communication
technologies, the infrastructure, devices and resources in networking systems are becoming …

Abstract Machine Learning (ML) has been enjoying an unprecedented surge in applications
that solve problems and enable automation in diverse domains. Primarily, this is due to the …

Today's networks are filled with a massive and ever-growing variety of network functions that
coupled with proprietary devices, which leads to network ossification and difficulty in network …

Abstract 6G is expected to support the unprecedented Internet of everything scenarios with
extremely diverse and challenging requirements. To fulfill such diverse requirements …

Large-scale software systems are currently designed as distributed entities and deployed in
cloud data centers. To overcome the limitations inherent to this type of deployment …

With the evolution of network function virtualization (NFV), diverse network services can be
flexibly offered as service function chains (SFCs) consisted of different virtual network …

Machine learning is widely used to solve networking challenges, ranging from traffic
classification and anomaly detection to network configuration. However, machine learning …

The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …

Space-air-ground integrated networks (SAGINs) are envisioned to provide seamless
coverage and enhanced flexibility compared with traditional terrestrial mobile networks …

Network function virtualization (NFV) and Service function chaining (SFC) can fulfill the
traditional network functions by simply running special softwares on general‐purpose …