Mario Lassnig

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 21

Top Topics

Data Management

Distributed Storage

Scientific Data

Top Venues

Comput. Softw. Big Sci.

Frontiers Big Data

Publications

Luca Clissa, Mario Lassnig, Lorenzo Rinaldi
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry. Frontiers Big Data 6 (2024)
Jacob Dunefsky, Mahdi Soleimani, Ryan Yang, Jordi Ros-Giralt, Mario Lassnig, Inder Monga, Frank K. Würthwein, Jingxuan Zhang, Kai Gao, Y. Richard Yang
Transport control networking: optimizing efficiency and control of data transport for data-intensive networks. NAI@SIGCOMM (2022)
Luca Clissa, Mario Lassnig, Lorenzo Rinaldi
Analyzing WLCG File Transfer Errors Through Machine Learning. Comput. Softw. Big Sci. 6 (1) (2022)
Joaquin Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz
Modelling Large-Scale Scientific Data Transfers. Comput. Softw. Big Sci. 6 (1) (2022)
Tobias Wegner, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz
Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science. Comput. Softw. Big Sci. 6 (1) (2022)
Joaquin Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz
Modelling Network Throughput of Large-Scale Scientific Data Transfers. JCC-BD&ET (2021)
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
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. Frontiers Big Data 4 (2021)
Tobias Wegner, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz
Simulation and evaluation of cloud storage caching for data intensive science. CoRR (2021)
Brian Bockelman, Andrea Ceccanti, Ian Collier, Linda Cornwall, Thomas Dack, Jaroslav Guenther, Mario Lassnig, Maarten Litmaath, Paul Millar, Mischa Sallé, Hannah Short, Jeny Teheran, Romain Wartel
WLCG Authorisation from X.509 to Tokens. CoRR (2020)
Mario Lassnig, Martin Barisits, Dimitrios Christidis
Experiences in Exascale Scientific Data Management. IEEE Data Eng. Bull. 43 (1) (2020)
Volodimir Begy, Martin Barisits, Mario Lassnig, Erich Schikuta
Forecasting network throughput of remote data access in computing grids. J. Comput. Sci. 44 (2020)
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
Rucio: Scientific Data Management. Comput. Softw. Big Sci. 3 (1) (2019)
Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
Simulating Data Access Profiles of Computational Jobs in Data Grids. CoRR (2019)
Volodimir Begy, Martin Barisits, Mario Lassnig, Erich Schikuta
Forecasting Network Throughput of Remote Data Access in Computing Grids. ICCS (1) (2019)
Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
Simulating Data Access Profiles of Computational Jobs in Data Grids. eScience (2019)
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 Stewart, Eric Vaandering, Petya Vasileva, Ralph Vigne, Tobias Wegner
Rucio - Scientific Data Management. CoRR (2019)
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
Federating distributed storage for clouds in ATLAS. CoRR (2018)
Joaquin Bogado, Fernando Monticelli, Javier Díaz, Mario Lassnig, Ilija Vukotic
Modelling High-Energy Physics Data Transfers. eScience (2018)
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 Gligorov, Tobias Golling, Jonas Graw, Lindsey Gray, Dick Greenwood, Thomas Hacker, John Harvey, Benedikt Hegner, Lukas Alexander 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 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 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 (2018)
Ralf Vamosi, Mario Lassnig, Erich Schikuta
Data Allocation Based on Evolutionary Data Popularity Clustering. ICCS (1) (2018)
Martin Barisits, eva Kühn, Mario Lassnig
A Hybrid Simulation Model for Data Grids. CCGrid (2016)
Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Martin Barisits
A similarity measure for time, frequency, and dependencies in large-scale workloads. SC (2011)
Miguel Branco, Ed Zaluska, David De Roure, Mario Lassnig, Vincent Garonne
Managing very large distributed data sets on a data grid. Concurr. Comput. Pract. Exp. 22 (11) (2010)
Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco
Identification, Modelling and Prediction of Non-periodic Bursts in Workloads. CCGRID (2010)
Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco
Stream Monitoring in Large-Scale Distributed Concealed Environments. eScience (2009)
Miguel Branco, Ed Zaluska, David De Roure, Pedro Salgado, Vincent Garonne, Mario Lassnig, Ricardo Rocha
Managing Very-Large Distributed Datasets. OTM Conferences (1) (2008)