Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Matteo Paltenghi"'
Autor:
Alessandro Di Girolamo, Federica Legger, Panos Paparrigopoulos, Jaroslava Schovancová, Thomas Beermann, Michael Boehler, Daniele Bonacorsi, Luca Clissa, Leticia Decker de Sousa, Tommaso Diotalevi, Luca Giommi, Maria Grigorieva, Domenico Giordano, David Hohn, Tomáš Javůrek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus
Publikováno v:
Frontiers in Big Data, Vol 4 (2022)
As a joint effort from various communities involved in the Worldwide LHC Computing Grid, the Operational Intelligence project aims at increasing the level of automation in computing operations and reducing human interventions. The distributed computi
Externí odkaz:
https://doaj.org/article/b5518b8e6e7e4d84ad5368aa9e40ebb7
Autor:
Matteo Paltenghi
Publikováno v:
2022 IEEE/ACM 44th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion).
Publikováno v:
Proceedings of the ACM on Programming Languages Volume 6, Issue OOPSLA1
Autor:
Matteo Paltenghi, Michael Pradel
The interest in quantum computing is growing, and with it, the importance of software platforms to develop quantum programs. Ensuring the correctness of such platforms is important, and it requires a thorough understanding of the bugs they typically
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6f019a0ced6e81aa9c02bdfcc3cc8135
Publikováno v:
EPJ Web of Conferences, Vol 251, p 02011 (2021)
Anomaly detection in the CERN OpenStack cloud is a challenging task due to the large scale of the computing infrastructure and, consequently, the large volume of monitoring data to analyse. The current solution to spot anomalous servers in the cloud
Autor:
Matteo Paltenghi, Michael Pradel
Publikováno v:
2021 36th IEEE/ACM International Conference on Automated Software Engineering (ASE)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3b2e57ac297597c844f4e5927b5aa74