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2020 – today
- 2021
[c7]Chen Zou, Andrew A. Chien, Robert W. Gardner, Ilija Vukotic:
Computational Storage to Increase the Analysis Capability of Tier-2 HEP Data Sites. CLUSTER 2021: 803-804- [c6]Derek Weitzel, Shawn McKee
, Brian Paul Bockelman, John Thiltges, Marian Babik, Ilija Vukotic:
The Service Analysis and Network Diagnosis Data Pipeline. INDIS@SC 2021: 1-11 - [i5]Derek Weitzel, Shawn McKee, Brian Paul Bockelman, John Thiltges, Marian Babik, Ilija Vukotic:
The Service Analysis and Network Diagnosis DataPipeline. CoRR abs/2112.03074 (2021) - 2020
- [i4]Marian Babik, Shawn McKee, Pedro Andrade, Brian Paul Bockelman, Robert W. Gardner, Edgar Mauricio Fajardo Hernandez, Edoardo Martelli, Ilija Vukotic, Derek Weitzel, Marián Zvada:
WLCG Networks: Update on Monitoring and Analytics. CoRR abs/2007.00598 (2020)
2010 – 2019
- 2019
- [j1]James Zhang, Robert W. Gardner, Ilija Vukotic:
Anomaly detection in wide area network meshes using two machine learning algorithms. Future Gener. Comput. Syst. 93: 418-426 (2019) - [c5]Joe Breen, Lincoln Bryant, Jiahui Chen, Emerson Ford, Robert W. Gardner, Gage Glupker, Skyler Griffith, Ben Kulbertis, Shawn McKee, Rose Pierce, Benedikt Riedel, Mitchell Steinman, Jason Stidd, Luan Truong, Jeremy Van, Ilija Vukotic, Christopher N. Weaver:
Developing Edge Services for Federated Infrastructure Using MiniSLATE. PEARC 2019: 35:1-35:5 - [c4]Joe Breen, Lincoln Bryant, Jiahui Chen, Emerson Ford, Robert W. Gardner, Gage Glupker, Skyler Griffith, Ben Kulbertis, Shawn McKee, Rose Pierce, Benedikt Riedel, Mitchell Steinman, Jason Stidd, Luan Truong, Jeremy Van, Ilija Vukotic, Christopher N. Weaver:
Managing Privilege and Access on Federated Edge Platforms. PEARC 2019: 45:1-45:5 - [c3]Derek Weitzel, Marián Zvada, Ilija Vukotic, Robert W. Gardner, Brian Bockelman, Mats Rynge, Edgar Fajardo Hernandez, Brian Lin, Mátyás Selmeci:
StashCache: A Distributed Caching Federation for the Open Science Grid. PEARC 2019: 58:1-58:7 - [i3]Derek Weitzel, Marián Zvada, Ilija Vukotic, Robert W. Gardner, Brian Bockelman, Mats Rynge, Edgar Fajardo Hernandez, Brian Lin, Matyas Selmeci:
StashCache: A Distributed Caching Federation for the Open Science Grid. CoRR abs/1905.06911 (2019) - 2018
- [c2]Joaquin Bogado, Fernando Monticelli, Javier Díaz, Mario Lassnig, Ilija Vukotic:
Modelling High-Energy Physics Data Transfers. eScience 2018: 334-335 - [c1]Joe Breen, Lincoln Bryant, Gabriele Carcassi, Jiahui Chen, Robert W. Gardner, Ryan Harden, Martin Izdimirski, Robert Killen, Ben Kulbertis, Shawn McKee, Benedikt Riedel, Jason Stidd, Luan Truong, Ilija Vukotic:
Building the SLATE Platform. PEARC 2018: 5:1-5:7 - [i2]James Zhang, Ilija Vukotic, Robert W. Gardner:
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms. CoRR abs/1801.10094 (2018) - [i1]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:
Machine Learning in High Energy Physics Community White Paper. CoRR abs/1807.02876 (2018)
Coauthor Index
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