XPySom: high-performance self-organizing maps

R Mancini, A Ritacco, G Lanciano… - 2020 IEEE 32nd …, 2020 - ieeexplore.ieee.org
In this paper, we introduce XPySom, a new open-source Python implementation of the well-
known Self-Organizing Maps (SOM) technique. It is designed to achieve high performance …

Forecasting operation metrics for virtualized network functions

T Cucinotta, G Lanciano, A Ritacco… - 2021 IEEE/ACM 21st …, 2021 - ieeexplore.ieee.org
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 …

Failures forecast in monitoring datacenter infrastructure through machine learning techniques: a systematic review

WL Neto, I de Morais Barroca Filho - … 13–16, 2021, Proceedings, Part IX …, 2021 - Springer
With the trend of accelerating digital transformation processes, datacenters (DC) are gaining
prominence as increasingly critical components for business success. Modern DC are …

DC Health: Node-Level Online Anomaly Detection in Data Center Performance Data Monitoring

WL Neto, I de Morais Barroca Filho - International Conference on …, 2022 - Springer
Data centers are critical environments for the availability of technology-based services.
Aiming at the high availability of these services, performance metrics of nodes such as …

Data-Driven Methods for Data Center Operations Support

G Lanciano - 2023 - ricerca.sns.it
During the last decade, cloud technologies have been evolving at an impressive pace, such
that we are now living in a cloud-native era where developers can leverage on an …

DC Health: detecção de anomalias online em datacenters

W Lopes Neto - 2022 - repositorio.ufrn.br
Datacenters são ambientes críticos para a disponibilidade de serviços baseados em
tecnologia. Visando a alta disponibilidade desses serviços, métricas de performance dos …