Výsledky vyhledávání - "Tommaso Cucinotta"

Akademický článek

Extending OpenStack Monasca for Predictive Elasticity Control

Autor: Giacomo Lanciano, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Publikováno v: Big Data Mining and Analytics, Vol 7, Iss 2, Pp 315-339 (2024)

Traditional auto-scaling approaches are conceived as reactive automations, typically triggered when predefined thresholds are breached by resource consumption metrics. Managing such rules at scale is cumbersome, especially when resources require non-

Externí odkaz: https://doaj.org/article/28881375fbab4336baca216483eae923

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Akademický článek

A 2-Phase Strategy for Intelligent Cloud Operations

Autor: Giacomo Lanciano, Remo Andreoli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella

Publikováno v: IEEE Access, Vol 11, Pp 96841-96853 (2023)

When operating large cloud computing infrastructures, ensuring healthiness of physical resources and software components is of paramount importance to meet the demanding service levels expected by customers. This is only possible using automations th

Externí odkaz: https://doaj.org/article/a2076add282e41f5b4f45e35934f3474

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Strong Temporal Isolation Among Containers in OpenStack for NFV Services

Autor: Luca Abeni, Mauro Marinoni, Carlo Vitucci, Tommaso Cucinotta, Riccardo Mancini

Publikováno v: IEEE Transactions on Cloud Computing. 11:763-778

In this paper, the problem of temporal isolation among containerized software components running in shared cloud infrastructures is tackled, proposing an approach based on hierarchical real-time CPU scheduling. This allows for reserving a precise sha

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95668567919a697b8fff46bea8033d01
https://doi.org/10.1109/tcc.2021.3116183

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Multi-Criteria Optimization of Real-Time DAGs on Heterogeneous Platforms under P-EDF

Autor: Tommaso Cucinotta, Alexandre Amory, Gabriele Ara, Francesco Paladino, Marco Di Natale

This paper tackles the problem of optimal placement of complex real-time embedded applications on heterogeneous platforms. Applications are composed of directed acyclic graphs of tasks, with each DAG having a minimum inter-arrival period for its acti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::138f08cee28772e6b5ec77c7b5e961f8
https://hdl.handle.net/11382/554591

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Group privacy for personalized federated learning

Autor: Filippo Galli, Sayan Biswas, Kangsoo Jung, Tommaso Cucinotta, Catuscia Palamidessi

Publikováno v: Proceedings of the 9th International Conference on Information Systems Security and Privacy-ICISSP
Proceedings of the 9th International Conference on Information Systems Security and Privacy-ICISSP, 2023, Lisbon, Portugal. pp.252-263, ⟨10.5220/0011885000003405⟩

ISSN 2184-4356; International audience; Federated learning (FL) is a type of collaborative machine learning where participating peers/clients process their data locally, sharing only updates to the collaborative model. This enables to build privacy-a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed373158112196b5909c8f4762b35061
https://inria.hal.science/hal-03907130

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Using Self-Organizing Maps for the Behavioral Analysis of Virtualized Network Functions

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)

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c4c5fee55c36b98eee0f893641141425
http://europepmc.org/articles/PMC7982709

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A Framework for Comparative Evaluation of High-Performance Virtualized Networking Mechanisms

Autor: Gabriele Ara, Luca Abeni, Leonardo Lai, Carlo Vitucci, Tommaso Cucinotta

Publikováno v: Cloud Computing and Services Science
Communications in Computer and Information Science ISBN: 9783030723682
CLOSER (Selected Papers)

This paper presents an extension to a software framework designed to evaluate the efficiency of different software and hardware-accelerated virtual switches, each commonly adopted on Linux to provide virtual network connectivity to containers in high

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff9eaf22723d0dc9dc89e899009e00c1
http://europepmc.org/articles/PMC7982691

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