Mario Lassnig

25 papers A 1B 2Journal 14Unranked 8
YearRankTypeTitle / Venue / Authors
2024 J jnl
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry.
Frontiers Big Data
Luca Clissa, Mario Lassnig, Lorenzo Rinaldi
2022 J jnl
Analyzing WLCG File Transfer Errors Through Machine Learning.
Comput. Softw. Big Sci.
Luca Clissa, Mario Lassnig, Lorenzo Rinaldi
2022 J jnl
Modelling Large-Scale Scientific Data Transfers.
Comput. Softw. Big Sci.
Joaquín Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz
2022 J jnl
Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science.
Comput. Softw. Big Sci.
Tobias Wegner, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz
2022 — conf
Transport control networking: optimizing efficiency and control of data transport for data-intensive networks.
NAI@SIGCOMM
Jacob Dunefsky, Mahdi Soleimani, Ryan Yang, Jordi Ros-Giralt, Mario Lassnig, Inder Monga, Frank K. Würthwein, Jingxuan Zhang, Kai Gao, Y. Richard Yang
2021 — conf
Modelling Network Throughput of Large-Scale Scientific Data Transfers.
JCC-BD&ET
Joaquín Bogado, Mario Lassnig, Fernando Monticelli, Javier Díaz
2021 J jnl
Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence.
Frontiers Big Data
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
2021 J jnl
Simulation and evaluation of cloud storage caching for data intensive science.
CoRR
Tobias Wegner, Mario Lassnig, Peer Ueberholz, Christian Zeitnitz
2020 J jnl
Experiences in Exascale Scientific Data Management.
IEEE Data Eng. Bull.
Mario Lassnig, Martin Barisits, Dimitrios Christidis
2020 J jnl
Forecasting network throughput of remote data access in computing grids.
J. Comput. Sci.
Volodimir Begy, Martin Barisits, Mario Lassnig, Erich Schikuta
2020 J jnl
WLCG Authorisation from X.509 to Tokens.
CoRR
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
2019 — conf
Forecasting Network Throughput of Remote Data Access in Computing Grids.
ICCS (1)
Volodimir Begy, Martin Barisits, Mario Lassnig, Erich Schikuta
2019 J jnl
Rucio - Scientific Data Management.
CoRR
Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquín 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
2019 J jnl
Rucio: Scientific Data Management.
Comput. Softw. Big Sci.
Martin Barisits, Thomas Beermann, Frank Berghaus, Brian Bockelman, Joaquín 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
2019 — conf
Simulating Data Access Profiles of Computational Jobs in Data Grids.
eScience
Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
2019 J jnl
Simulating Data Access Profiles of Computational Jobs in Data Grids.
CoRR
Volodimir Begy, Joeri Hermans, Martin Barisits, Mario Lassnig, Erich Schikuta
2018 — conf
Data Allocation Based on Evolutionary Data Popularity Clustering.
ICCS (1)
Ralf Vamosi, Mario Lassnig, Erich Schikuta
2018 J jnl
Federating distributed storage for clouds in ATLAS.
CoRR
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
2018 — conf
Modelling High-Energy Physics Data Transfers.
eScience
Joaquín Bogado, Fernando Monticelli, Javier Díaz, Mario Lassnig, Ilija Vukotic
2016 B conf
A Hybrid Simulation Model for Data Grids.
CCGrid
Martin Barisits, Eva Kühn, Mario Lassnig
2011 A conf
A similarity measure for time, frequency, and dependencies in large-scale workloads.
SC
Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Martin Barisits
2010 B conf
Identification, Modelling and Prediction of Non-periodic Bursts in Workloads.
CCGRID
Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco
2010 J jnl
Managing very large distributed data sets on a data grid.
Concurr. Comput. Pract. Exp.
Miguel Branco, Ed Zaluska, David De Roure, Mario Lassnig, Vincent Garonne
2009 — conf
Stream Monitoring in Large-Scale Distributed Concealed Environments.
eScience
Mario Lassnig, Thomas Fahringer, Vincent Garonne, Angelos Molfetas, Miguel Branco
2008 — conf
Managing Very-Large Distributed Datasets.
OTM Conferences (1)
Miguel Branco, Ed Zaluska, David De Roure, Pedro Salgado, Vincent Garonne, Mario Lassnig, Ricardo Rocha