Mario Lassnig

Orcid: 0000-0002-9541-0592

According to our database1, Mario Lassnig authored at least 22 papers between 2008 and 2024.

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Bibliography

2024
How big is Big Data? A comprehensive survey of data production, storage, and streaming in science and industry.
Frontiers Big Data, 2024

2022
Modelling Large-Scale Scientific Data Transfers.
Comput. Softw. Big Sci., December, 2022

Simulation and Evaluation of Cloud Storage Caching for Data Intensive Science.
Comput. Softw. Big Sci., 2022

Analyzing WLCG File Transfer Errors Through Machine Learning.
Comput. Softw. Big Sci., 2022

Transport control networking: optimizing efficiency and control of data transport for data-intensive networks.
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.
Frontiers Big Data, 2021

Modelling Network Throughput of Large-Scale Scientific Data Transfers.
Proceedings of the Cloud Computing, Big Data & Emerging Topics - 9th Conference, 2021

2020
Forecasting network throughput of remote data access in computing grids.
J. Comput. Sci., 2020

Experiences in Exascale Scientific Data Management.
IEEE Data Eng. Bull., 2020

WLCG Authorisation from X.509 to Tokens.
CoRR, 2020

2019
Rucio: Scientific Data Management.
Comput. Softw. Big Sci., December, 2019

Simulating Data Access Profiles of Computational Jobs in Data Grids.
Proceedings of the 15th International Conference on eScience, 2019

2018
Federating distributed storage for clouds in ATLAS.
CoRR, 2018

Machine Learning in High Energy Physics Community White Paper.
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CoRR, 2018

Data Allocation Based on Evolutionary Data Popularity Clustering.
Proceedings of the Computational Science - ICCS 2018, 2018

Modelling High-Energy Physics Data Transfers.
Proceedings of the 14th IEEE International Conference on e-Science, 2018

2016
A Hybrid Simulation Model for Data Grids.
Proceedings of the IEEE/ACM 16th International Symposium on Cluster, 2016

2011
A similarity measure for time, frequency, and dependencies in large-scale workloads.
Proceedings of the Conference on High Performance Computing Networking, 2011

2010
Managing very large distributed data sets on a data grid.
Concurr. Comput. Pract. Exp., 2010

Identification, Modelling and Prediction of Non-periodic Bursts in Workloads.
Proceedings of the 10th IEEE/ACM International Conference on Cluster, 2010

2009
Stream Monitoring in Large-Scale Distributed Concealed Environments.
Proceedings of the Fifth International Conference on e-Science, 2009

2008
Managing Very-Large Distributed Datasets.
Proceedings of the On the Move to Meaningful Internet Systems: OTM 2008, 2008


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