Mario Lassnig

According to our database, Mario Lassnig authored at least 21 papers between 2008 and 2022.

Collaborative distances:

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

2022

Modelling Large-Scale Scientific Data Transfers.

Joaquin Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz

Comput. Softw. Big Sci., December, 2022

Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science.

Tobias Wegner, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz

Comput. Softw. Big Sci., 2022

Analyzing WLCG File Transfer Errors Through Machine Learning.

Luca Clissa, Mario Lassnig, Lorenzo Rinaldi

Comput. Softw. Big Sci., 2022

Transport control networking: optimizing efficiency and control of data transport for data-intensive networks.

Jacob Dunefsky, Mahdi Soleimani, Ryan Yang, Jordi Ros-Giralt, Mario Lassnig, Inder Monga, Frank K. Würthwein, Jingxuan Zhang, Kai Gao, Y. Richard Yang

Proceedings of the NAI '22: Proceedings of the ACM SIGCOMM Workshop on Network-Application Integration, 2022

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

Modelling Network Throughput of Large-Scale Scientific Data Transfers.

Joaquin Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz

Proceedings of the Cloud Computing, Big Data & Emerging Topics - 9th Conference, 2021

2020

Forecasting network throughput of remote data access in computing grids.

Volodimir Begy, Martin Barisits, Mario Lassnig, Erich Schikuta

J. Comput. Sci., 2020

Experiences in Exascale Scientific Data Management.

Mario Lassnig, Martin Barisits, Dimitrios Christidis

IEEE Data Eng. Bull., 2020

WLCG Authorisation from X.509 to Tokens.

Brian Bockelman, Andrea Ceccanti, Ian Collier, Linda Cornwall, Thomas Dack, Jaroslav Guenther, Mario Lassnig, Maarten Litmaath, A. Paul Millar, Mischa Sallé, Hannah Short, Jeny Teheran, Romain Wartel

CoRR, 2020

2019

Rucio: Scientific Data Management.

Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquin Bogado, David Cameron, Dimitrios Christidis, Diego Ciangottini, Gancho Dimitrov, Markus Elsing, Vincent Garonne, Alessandro Di Girolamo, Luc Goossens, Wen Guan, Jaroslav Guenther, Tomas Javurek, Dietmar Kuhn, Mario Lassnig, Fernando Lopez, Nicolò Magini, Angelos Molfetas, Armin Nairz, Farid Ould-Saada, Stefan Prenner, Cedric Serfon, Graeme A. Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner

Comput. Softw. Big Sci., December, 2019

Simulating Data Access Profiles of Computational Jobs in Data Grids.

Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta

Proceedings of the 15th International Conference on eScience, 2019

2018

Federating distributed storage for clouds in ATLAS.

Frank Berghaus, Kevin Casteels, Alessandro Di Girolamo, Colson Driemel, Marcus Ebert, Fabrizio Furano, Fernado Galindo, Mario Lassnig, Colin Leavett-Brown, Michael Paterson, Cedric Serfon, Rolf Seuster, Randall J. Sobie, Réda Tafirout, Ryan Paul Taylor

CoRR, 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

Data Allocation Based on Evolutionary Data Popularity Clustering.

Ralf Vamosi, Mario Lassnig, Erich Schikuta

Proceedings of the Computational Science - ICCS 2018, 2018

Modelling High-Energy Physics Data Transfers.

Joaquin Bogado, Fernando Monticelli, Javier Díaz, Mario Lassnig, Ilija Vukotic

Proceedings of the 14th IEEE International Conference on e-Science, 2018

2016

A Hybrid Simulation Model for Data Grids.

Martin Barisits, Eva Kühn, Mario Lassnig

Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2011

A similarity measure for time, frequency, and dependencies in large-scale workloads.

Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Martin Barisits

Proceedings of the Conference on High Performance Computing Networking, 2011

2010

Managing very large distributed data sets on a data grid.

Miguel Branco, Ed Zaluska, David De Roure, Mario Lassnig, Vincent Garonne

Concurr. Comput. Pract. Exp., 2010

Identification, Modelling and Prediction of Non-periodic Bursts in Workloads.

Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco

Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009

Stream Monitoring in Large-Scale Distributed Concealed Environments.

Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco

Proceedings of the Fifth International Conference on e-Science, 2009

2008

Managing Very-Large Distributed Datasets.

Miguel Branco, Ed Zaluska, David De Roure, Pedro Salgado, Vincent Garonne, Mario Lassnig, Ricardo Rocha

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 2008