Time-critical and delay-sensitive multimedia applications require more spectrum and
transmission resources. With the provision of cognitive radios (CRs), the underutilized …

Recently, Content Delivery Networks (CDN) have become more and more popular. The
technology itself is ahead of academic research in this area. Several dimensions of the …

The research community has considered in the past the application of Artificial Intelligence
(AI) techniques to control and operate networks. A notable example is the Knowledge Plane …

The increasing capability to collect data gives us the possibility to collect a massive amount
of heterogeneous data. Among the heterogeneous data available, time-series represents a …

In Software Defined-Content Delivery Networks (SD-CDN), the policies of tenants such as
Youtube, Netflix, Office 365, etc. are not the same due to having different 5G traffic …

Understanding the behavior of a network from a large scale traffic dataset is a challenging
problem. Big data frameworks offer scalable algorithms to extract information from raw data …

In this paper, a network-media integrated optimization framework assisted by a graph neural
network (GNN) named GOMOS is proposed, aiming to address the challenge of reducing …

For the last decade, YouTube has consistently been a dominant source of traffic on the
Internet. To improve the quality of experience (QoE) for YouTube users, broadband access …

Abstract Zero Trust Networking (ZTN) is more challenging in a multi-tenant environment. To
meet different service requirements of multi-tenants and minimize the risk of physical …

Mobile networks have become ubiquitous and the primary means to access the Internet, and
the traffic they generate has rapidly increased over the last years. The technology and …