Managing Very-Large Distributed Datasets. - Miguel Branco; Ed Zaluska; David De Roure; Pedro Salgado; Vincent Garonne; Mario Lassnig; Ricardo Rocha 002 (OTM Conferences (1), 2008)

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

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

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

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

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

Data Allocation Based on Evolutionary Data Popularity Clustering. - Ralf Vamosi; Mario Lassnig; Erich Schikuta (ICCS (1), 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; et al. (CoRR, 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; et al. (CoRR, 2018)

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

Rucio: Scientific Data Management. - 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; et al. (Comput. Softw. Big Sci., 2019)

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; et al. (CoRR, 2020)

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

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

Modelling Network Throughput of Large-Scale Scientific Data Transfers. - Joaquín Bogado; Mario Lassnig; Fernando Monticelli; Javier Díaz (JCC-BD&ET, 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; et al. (Frontiers Big Data, 2021)

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 001; Y. Richard Yang (NAI@SIGCOMM, 2022)

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

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

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