How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry. - Clissa, Luca; Lassnig, Mario; Rinaldi, Lorenzo (Frontiers Big Data, 2024)

Modelling Large-Scale Scientific Data Transfers. - Bogado, Joaquín; Lassnig, Mario; Monticelli, Fernando; Díaz, Javier (Comput. Softw. Big Sci., 2022)

Analyzing WLCG File Transfer Errors Through Machine Learning. - Clissa, Luca; Lassnig, Mario; Rinaldi, Lorenzo (Comput. Softw. Big Sci., 2022)

Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science. - Wegner, Tobias; Lassnig, Mario; Ueberholz, Peer; Zeitnitz, Christian (Comput. Softw. Big Sci., 2022)

Transport control networking: optimizing efficiency and control of data transport for data-intensive networks. - Dunefsky, Jacob; Soleimani, Mahdi; Yang, Ryan; Ros-Giralt, Jordi; Lassnig, Mario; Monga, Inder; Würthwein, Frank K.; Zhang, Jingxuan; Gao, Kai; Yang, Y. Richard (2022)

Preparing Distributed Computing Operations for the HL-LHC Era With Operational Intelligence. - Girolamo, Alessandro Di; Legger, Federica; Paparrigopoulos, Panos; Schovancová, Jaroslava; Beermann, Thomas; Boehler, Michael; Bonacorsi, Daniele; Clissa, Luca; Sousa, Leticia Decker de; Diotalevi, Tommaso; Giommi, Luca; Grigorieva, Maria; et al. (Frontiers Big Data, 2021)

Modelling Network Throughput of Large-Scale Scientific Data Transfers. - Bogado, Joaquín; Lassnig, Mario; Monticelli, Fernando; Díaz, Javier (2021)

Simulation and evaluation of cloud storage caching for data intensive science. - Wegner, Tobias; Lassnig, Mario; Ueberholz, Peer; Zeitnitz, Christian (CoRR, 2021)

Experiences in Exascale Scientific Data Management. - Lassnig, Mario; Barisits, Martin; Christidis, Dimitrios (IEEE Data Eng. Bull., 2020)

Forecasting network throughput of remote data access in computing grids. - Begy, Volodimir; Barisits, Martin; Lassnig, Mario; Schikuta, Erich (J. Comput. Sci., 2020)

WLCG Authorisation from X.509 to Tokens. - Bockelman, Brian; Ceccanti, Andrea; Collier, Ian; Cornwall, Linda; Dack, Thomas; Guenther, Jaroslav; Lassnig, Mario; Litmaath, Maarten; Millar, A. Paul; Sallé, Mischa; Short, Hannah; Teheran, Jeny; et al. (CoRR, 2020)

Rucio: Scientific Data Management. - Barisits, Martin; Beermann, Thomas; Berghaus, Frank; Bockelman, Brian; Bogado, Joaquín; Cameron, David; Christidis, Dimitrios; Ciangottini, Diego; Dimitrov, Gancho; Elsing, Markus; Garonne, Vincent; Girolamo, Alessandro Di; et al. (Comput. Softw. Big Sci., 2019)

Simulating Data Access Profiles of Computational Jobs in Data Grids. - Begy, Volodimir; Hermans, Joeri; Barisits, Martin; Lassnig, Mario; Schikuta, Erich (2019)

Forecasting Network Throughput of Remote Data Access in Computing Grids. - Begy, Volodimir; Barisits, Martin; Lassnig, Mario; Schikuta, Erich (2019)

Rucio - Scientific Data Management. - Barisits, Martin; Beermann, Thomas; Berghaus, Frank; Bockelman, Brian; Bogado, Joaquín; Cameron, David; Christidis, Dimitrios; Ciangottini, Diego; Dimitrov, Gancho; Elsing, Markus; Garonne, Vincent; Girolamo, Alessandro Di; et al. (CoRR, 2019)

Simulating Data Access Profiles of Computational Jobs in Data Grids. - Begy, Volodimir; Hermans, Joeri; Barisits, Martin; Lassnig, Mario; Schikuta, Erich (CoRR, 2019)

Modelling High-Energy Physics Data Transfers. - Bogado, Joaquín; Monticelli, Fernando; Díaz, Javier; Lassnig, Mario; Vukotic, Ilija (2018)

Data Allocation Based on Evolutionary Data Popularity Clustering. - Vamosi, Ralf; Lassnig, Mario; Schikuta, Erich (2018)

Machine Learning in High Energy Physics Community White Paper. - Albertsson, Kim; Altoe, Piero; Anderson, Dustin; Andrews, Michael; Espinosa, Juan Pedro Araque; Aurisano, Adam; Basara, Laurent; Bevan, Adrian; Bhimji, Wahid; Bonacorsi, Daniele; Calafiura, Paolo; Campanelli, Mario; et al. (CoRR, 2018)

Federating distributed storage for clouds in ATLAS. - Berghaus, Frank; Casteels, Kevin; Girolamo, Alessandro Di; Driemel, Colson; Ebert, Marcus; Furano, Fabrizio; Galindo, Fernado; Lassnig, Mario; Leavett-Brown, Colin; Paterson, Michael; Serfon, Cedric; Seuster, Rolf; et al. (CoRR, 2018)

A Hybrid Simulation Model for Data Grids. - Barisits, Martin; Kühn, Eva; Lassnig, Mario (2016)

A similarity measure for time, frequency, and dependencies in large-scale workloads. - Lassnig, Mario; Fahringer, Thomas; Garonne, Vincent; Molfetas, Angelos; Barisits, Martin (2011)

Managing very large distributed data sets on a data grid. - Branco, Miguel; Zaluska, Ed; Roure, David De; Lassnig, Mario; Garonne, Vincent (Concurr. Comput. Pract. Exp., 2010)

Identification, Modelling and Prediction of Non-periodic Bursts in Workloads. - Lassnig, Mario; Fahringer, Thomas; Garonne, Vincent; Molfetas, Angelos; Branco, Miguel (2010)

Stream Monitoring in Large-Scale Distributed Concealed Environments. - Lassnig, Mario; Fahringer, Thomas; Garonne, Vincent; Molfetas, Angelos; Branco, Miguel (2009)

Managing Very-Large Distributed Datasets. - Branco, Miguel; Zaluska, Ed; Roure, David De; Salgado, Pedro; Garonne, Vincent; Lassnig, Mario; Rocha, Ricardo (2008)