Search Results - "Diotalevi, Tommaso"

A RESTful approach to tape management in StoRM by Vianello, Enrico, Agostini, Federica, Cappelli, Laura, Diotalevi, Tommaso, Galavotti, Angelo, Gasparetto, Jacopo, Giacomini, Francesco, Lanzi, Samuele, Miccoli, Roberta, Shtimmerman, Aksieniia, Vilaça Pinheiro Soares, Marcelo

“…The STOrage Resource Manager (StoRM) service implements the SRM specification to recall files from tape. Although the SRM protocol has been successfully used…”
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Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence by Di Girolamo, Alessandro, Legger, Federica, Paparrigopoulos, Panos, Schovancová, Jaroslava, Beermann, Thomas, Boehler, Michael, Bonacorsi, Daniele, Clissa, Luca, Decker de Sousa, Leticia, Diotalevi, Tommaso, Giommi, Luca, Grigorieva, Maria, Giordano, Domenico, Hohn, David, Javůrek, Tomáš, Jezequel, Stephane, Kuznetsov, Valentin, Lassnig, Mario, Mageirakos, Vasilis, Olocco, Micol, Padolski, Siarhei, Paltenghi, Matteo, Rinaldi, Lorenzo, Sharma, Mayank, Tisbeni, Simone Rossi, Tuckus, Nikodemas

“…As a joint effort from various communities involved in the Worldwide LHC Computing Grid, the Operational Intelligence project aims at increasing the level of…”
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Operational Intelligence for Distributed Computing Systems for Exascale Science by Di Girolamo, Alessandro, Legger, Federica, Paparrigopoulos, Panos, Klimentov, Alexei, Schovancová, Jaroslava, Kuznetsov, Valentin, Lassnig, Mario, Clissa, Luca, Rinaldi, Lorenzo, Sharma, Mayank, Bakhshiansohi, Hamed, Zvada, Marian, Bonacorsi, Daniele, Rossi Tisbeni, Simone, Giommi, Luca, Decker de Sousa, Leticia, Diotalevi, Tommaso, Grigorieva, Maria, Padolski, Sergey

“…In the near future, large scientific collaborations will face unprecedented computing challenges. Processing and storing exabyte datasets require a federated…”
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Improving parametric neural networks for high-energy physics (and beyond) by Anzalone, Luca, Diotalevi, Tommaso, Bonacorsi, Daniele

“…Abstract Signal-background classification is a central problem in high-energy physics, that plays a major role for the discovery of new fundamental particles…”
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Progress in Machine Learning Studies for the CMS Computing Infrastructure by Bonacorsi, Daniele, Kuznetsov, Valentin, Magini, Nicolo, Diotalevi, Tommaso, Repeccka, Aurimas, Matonis, Zygimantas, Kancis, Kipras

“…Here, computing systems for LHC experiments developed together with Grids worldwide. While a complete description of the original Grid-based infrastructure and…”
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Improving Parametric Neural Networks for High-Energy Physics (and Beyond) by Anzalone, Luca, Diotalevi, Tommaso, Bonacorsi, Daniele

“…Mach. Learn.: Sci. Technol. 3 (2022) 035017 Signal-background classification is a central problem in High-Energy Physics (HEP), that plays a major role for the…”
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Collection and harmonization of system logs and prototypal Analytics services with the Elastic (ELK) suite at the INFN-CNAF computing centre by Diotalevi, Tommaso, Falabella, Antonio, Martelli, Barbara, Michelotto, Diego, Morganti, Lucia, Bonacorsi, Daniele, Giommi, Luca, Tisbeni, Simone Rossi

“…PoS(ISGC2019)027 The distributed Grid infrastructure for High Energy Physics experiments at the Large Hadron Collider (LHC) in Geneva comprises a set of…”
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