Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ritacco, Antonio"'
Autor:
Galli, Filippo, Ritacco, Antonio, Lanciano, Giacomo, Vannocci, Marco, Colla, Valentina, Vannucci, Marco
Publikováno v:
International Journal of Advances in Intelligent Informatics; Mar2020, Vol. 6 Issue 1, p13-22, 10p
Autor:
Cateni, Silvia, Ritacco, Antonio, Iannino, Vincenzo, Colla, Valentina, Vannucci, Marco, Dettori, Stefano
Publikováno v:
International Journal of Simulation: Systems, Science & Technology; Oct2018, Vol. 19 Issue 5, p24.1-24.7, 7p
Autor:
Giacomo Lanciano, Fabio Brau, Joao Barata, Tommaso Cucinotta, Enrica Sposato, Marco Vannucci, Antonio Ritacco, Antonino Artale
Publikováno v:
Cloud Computing and Services Science
Communications in Computer and Information Science ISBN: 9783030723682
CLOSER (Selected Papers)
Communications in Computer and Information Science ISBN: 9783030723682
CLOSER (Selected Papers)
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 Self-Organizing Maps, to address such problem by leveraging on the ma
Publikováno v:
SBAC-PAD
2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
2020 IEEE 32nd International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD)
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 on a single node, exploiting widely available Python libraries for vector p
Autor:
Tommaso Cucinotta, Enrica Sposato, Giacomo Lanciano, Luca Basili, Marco Vannucci, Antonio Ritacco, Antonino Artale, Joao Barata
Publikováno v:
SAC
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 Network Function Virtualization (NFV). Our approach is based on a joint analysis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62b53d512acd045e78296db5fcd4a913
http://hdl.handle.net/11382/533632
http://hdl.handle.net/11382/533632
Autor:
Marco Vannucci, Antonio Ritacco, Giacomo Lanciano, Luca Basili, Tommaso Cucinotta, Antonino Artale, Enrica Sposato, Joao Barata
Publikováno v:
CLOSER
Scopus-Elsevier
Scopus-Elsevier
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 analyzing historical data available through a data center. We propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b455c580c54a97dd92ed81b2f7befb1
https://hdl.handle.net/11384/131264
https://hdl.handle.net/11384/131264