The dependability of cloud computing services is a major concern of cloud providers. In
particular, anomaly detection techniques are crucial to detect anomalous service behaviors …

Network Function Virtualization (NFV) is a promising paradigm that enables the employment
of novel service types with lower deployment cost and faster time-to-value, but it introduces …

The widespread application of ultra-dense and multivariate Internet of Things (IoT) benefits
from Network Function Virtualization (NFV) that provides flexible frameworks and effective …

Network function virtualization (NFV) aims to provide high-performance network services
through cloud computing and virtualization technologies. However, network overloads …

Recent deployments of Network Function Virtualization (NFV) architectures have gained
tremendous traction. While virtualization introduces benefits such as lower costs and easier …

In this paper, we tackle the problem of detecting anomalous behaviors in a virtualized
infrastructure for network function virtualization, proposing to use self-organizing maps for …

Cloud auto-scaling mechanisms are typically based on reactive automation rules that scale
a cluster whenever some metric, eg, the average CPU usage among instances, exceeds a …

Detecting anomalous behaviors in a network function virtualization infrastructure is of the
utmost importance for network operators. In this paper, we propose a technique, based on …

Network Function Virtualization (NFV) is the key technology that allows modern network
operators to provide flexible and efficient services, by leveraging on general-purpose private …

In this paper, we propose a mechanism based on Self-Organizing Maps for analyzing the
resource consumption behaviors and detecting possible anomalies in data centers for …