Valentin Kuznetsov

According to our database, Valentin Kuznetsov authored at least 13 papers between 2006 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Implementation of New Security Features in CMSWEB Kubernetes Cluster at CERN.

Aamir Ali, Muhammad Imran, Valentin Kuznetsov, Spyridon Trigazis, Aroosha Pervaiz, Andreas Pfeiffer, Marco Mascheroni

CoRR, 2024

2021

Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence.

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, Tomas Javurek, Stephane Jezequel, Valentin Kuznetsov, Mario Lassnig, Vasilis Mageirakos, Micol Olocco, Siarhei Padolski, Matteo Paltenghi, Lorenzo Rinaldi, Mayank Sharma, Simone Rossi Tisbeni, Nikodemas Tuckus

Frontiers Big Data, 2021

MLaaS4HEP: Machine Learning as a Service for HEP.

Valentin Kuznetsov, Luca Giommi, Daniele Bonacorsi

Comput. Softw. Big Sci., 2021

The CMS monitoring infrastructure and applications.

Christian Ariza-Porras, Valentin Kuznetsov, Federica Legger

Comput. Softw. Big Sci., 2021

Migration of CMSWEB Cluster at CERN to Kubernetes.

Muhammad Imran, Valentin Kuznetsov, Lina Marcella, Katarzyna Maria Dziedziniewicz-Wojcik, Andreas Pfeiffer, Panos Paparrigopoulos

CoRR, 2021

Migration of CMSWEB cluster at CERN to Kubernetes: a comprehensive study.

Muhammad Imran, Valentin Kuznetsov, Katarzyna Maria Dziedziniewicz-Wojcik, Andreas Pfeiffer, Panos Paparrigopoulos, Spyridon Trigazis, Tommaso Tedeschi, Diego Ciangottini

Clust. Comput., 2021

2019

Correction to: The Archive Solution for Distributed Workflow Management Agents of the CMS Experiment at LHC.

Valentin Kuznetsov, Nils Leif Fischer, Yuyi Guo

Comput. Softw. Big Sci., December, 2019

2018

The Archive Solution for Distributed Workflow Management Agents of the CMS Experiment at LHC.

Valentin Kuznetsov, Nils Leif Fischer, Yuyi Guo

Comput. Softw. Big Sci., November, 2018

Machine Learning in High Energy Physics Community White Paper.

Kim Albertsson, Piero Altoe, Dustin Anderson, Michael Andrews, Juan Pedro Araque Espinosa, Adam Aurisano, Laurent Basara, Adrian Bevan, Wahid Bhimji, Daniele Bonacorsi, Paolo Calafiura, Mario Campanelli, Louis Capps, Federico Carminati, Stefano Carrazza, Taylor Childers, Elias Coniavitis, Kyle Cranmer, Claire David, Douglas Davis, Javier M. Duarte, Martin Erdmann, Jonas Eschle, Amir Farbin, Matthew Feickert, Nuno Filipe Castro, Conor Fitzpatrick, Michele Floris, Alessandra Forti, Jordi Garra-Tico, Jochen Gemmler, Maria Girone, Paul Glaysher, Sergei Gleyzer, Vladimir V. Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Heinrich, Ben Hooberman, Johannes Junggeburth, Michael Kagan, Meghan Kane, Konstantin Kanishchev, Przemyslaw Karpinski, Zahari Kassabov, Gaurav Kaul, Dorian Kcira, Thomas Keck, Alexei Klimentov, Jim Kowalkowski, Luke Kreczko, Alexander Kurepin, Rob Kutschke, Valentin Kuznetsov, Nicolas Köhler, Igor Lakomov, Kevin Lannon, Mario Lassnig, Antonio Limosani, Gilles Louppe, Aashrita Mangu, Pere Mato, Narain Meenakshi, Helge Meinhard, Dario Menasce, Lorenzo Moneta, Seth Moortgat, Mark S. Neubauer, Harvey B. Newman, Hans Pabst, Michela Paganini, Manfred Paulini, Gabriel N. Perdue, Uzziel Perez, Attilio Picazio, Jim Pivarski, Harrison Prosper, Fernanda Psihas, Alexander Radovic, Ryan Reece, Aurelius Rinkevicius, Eduardo Rodrigues, Jamal Rorie, David Rousseau, Aaron Sauers, Steven Schramm, Ariel Schwartzman, Horst Severini, Paul Seyfert, Filip Siroky, Konstantin Skazytkin, Mike Sokoloff, Graeme Andrew Stewart, Bob Stienen, Ian Stockdale, Giles Chatham Strong, Savannah Thais, Karen Tomko, Eli Upfal, Emanuele Usai, Andrey Ustyuzhanin, Martin Vala, Sofia Vallecorsa, Mauro Verzetti, Xavier Vilasís-Cardona, Jean-Roch Vlimant, Ilija Vukotic, Sean-Jiun Wang, Gordon Watts, Michael Williams, Wenjing Wu, Stefan Wunsch, Omar Zapata

CoRR, 2018

2010

The CMS data aggregation system.

Valentin Kuznetsov, Dave Evans, Simon Metson

Proceedings of the International Conference on Computational Science, 2010

Distributed Analysis in CMS.

Alessandra Fanfani, M. Anzar Afaq, Jose Afonso Sanches, Julia Andreeva, Giuseppe Bagliesi, Lothar Bauerdick, Stefano Belforte, Patricia Bittencourt Sampaio, Kenneth Bloom, Barry Blumenfeld, Daniele Bonacorsi, Chris Brew, Marco Calloni, Daniele Cesini, Mattia Cinquilli, Giuseppe Codispoti, Jorgen D'Hondt, Liang Dong, Danilo N. Dongiovanni, Giacinto Donvito, David Dykstra, Erik Edelmann, Ricky Egeland, Peter Elmer, Giulio Eulisse, Dave Evans, Federica Fanzago, Fabio Farina, Derek Feichtinger, Ian Fisk, Josep Flix, Claudio Grandi, Yuyi Guo, Kalle Happonen, José M. Hernández, Chih-Hao Huang, Kejing Kang, Edward Karavakis, Matthias Kasemann, Carlos Kavka, Akram Khan, Bockjoo Kim, Jukka Klem, Jesper Koivumäki, Thomas Kress, Peter Kreuzer, Tibor Kurca, Valentin Kuznetsov, Stefano Lacaprara, Kati Lassila-Perini, James Letts, Tomas Lindén, Lee Lueking, Joris Maes, Nicolò Magini, Gerhild Maier, Patricia McBride, Simon Metson, Vincenzo Miccio, Sanjay Padhi, Haifeng Pi, Hassen Riahi, Daniel Riley, Paul Rossman, Pablo Saiz, Andrea Sartirana, Andrea Sciabà, Vijay Sekhri, Daniele Spiga, Lassi A. Tuura, Eric Vaandering, Lukas Vanelderen, Petra Van Mulders, Aresh Vedaee, Ilaria Villella, Eric Wicklund, Tony Wildish, Christoph Wissing, Frank Würthwein

J. Grid Comput., 2010

2008

Provenance in High-Energy Physics Workflows.

Andrew Dolgert, Lawrence Gibbons, Christopher D. Jones, Valentin Kuznetsov, Mirek Riedewald, Daniel Riley, Gregory J. Sharp, Peter Wittich

Comput. Sci. Eng., 2008

2006

Three Case Studies of Large-Scale Data Flows.

William Y. Arms, Selcuk Aya, Manuel Calimlim, Jim Cordes, Julia Deneva, Pavel A. Dmitriev, Johannes Gehrke, Lawrence Gibbons, Christopher D. Jones, Valentin Kuznetsov, David A. Lifka, Mirek Riedewald, Daniel Riley, Anders Ryd, Gregory J. Sharp

Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006