Network virtualization allows multiple heterogeneous networks to be deployed on the same
physical network. One of its main challenges is how to effectively allocate resources to the …

The exponential growth in user numbers has resulted in an overwhelming surge in data that
the smart grid must process. To tackle this challenge, edge computing emerges as a vital …

Virtual network embedding (VNE) that instantiates virtualized networks on a substrate
infrastructure, is one of the key research problems for network virtualization. Most existing …

Virtual Network Embedding (VNE) is an essential component of network virtualization
technology. Prior works on VNE mainly focused on resource efficiency and did not address …

With the increasing demand of low-latency network services, mobile edge computing (MEC)
emerges as a new paradigm, which provides server resources and processing capacities in …

Machine learning (ML) has been penetrating into our daily life by facilitating many daily
applications, eg, self-driving, cloud gaming, product fault detection and drones. Meanwhile …

Management and orchestration (MANO) of resources by virtual network functions (VNFs)
represents one of the key challenges towards a fully virtualized network architecture as …

Virtual network embedding (VNE) is a promising technique enabling 5G networks to satisfy
the given requirements of each service via network virtualization. For better performance of …

With the emergence of a large number of computation-intensive and time-sensitive
applications, smart terminal devices with limited resources can only run the model training …

The Multi-Access Edge Computing (MEC) paradigm provides a promising solution for
efficient computing services at edge nodes, such as base stations (BS), access points (AP) …