Open Access
| Issue |
EPJ Web Conf.
Volume 337, 2025
27th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2024)
|
|
|---|---|---|
| Article Number | 01284 | |
| Number of page(s) | 11 | |
| DOI | https://doi.org/10.1051/epjconf/202533701284 | |
| Published online | 07 October 2025 | |
- M. Aderholz, K. Amako, E. Augé, G. Bagliesi, L. Barone, G. Battistoni, M. Bernardi, M. Boschini, A. Brunengo, J.J. Bunn et al., Models of Networked Analysis at Regional Centres for LHC Experiments (MONARC), Phase 2 Report, 24th March 2000 (2000), https://cds.cern.ch/record/510694 [Google Scholar]
- E. Martelli, Evolving the LHCOPN and LHCONE networks to support HL-LHC computing requirements, EPJ Web of Conferences 295 (2024) [Google Scholar]
- ESnet, Esnet science dmz web site, https://fasterdata.es.net/science-dmz/ [Google Scholar]
- M. Lassnig, C. Wissing, Wlcg/doma data challenge 2024: Final report (2024), https://doi.org/10.5281/zenodo.11444180 [Google Scholar]
- S. Campana, WLCG data challenges for HL-LHC - 2021 planning (2021), https://zenodo.org/record/5532452 [Google Scholar]
- Capone, Enzo, Cass, Tony, Dart, Eli, Global science network forum at tnc24 (2024)), https://tnc24.geant.org/side-meetings/#204 [Google Scholar]
- Attebury, Garhan, Babik, Marian, Carder, Dale, Chown, Tim, Hanushevsky, Andrew, Hoeft, Bruno, Lake, Andrew, Lambert, Michael, Letts, James, McKee, Shawn et al., Identifying and Understanding Scientific Network Flows, EPJ Web of Conf. 295, 01036 (2024) [CrossRef] [EDP Sciences] [PubMed] [Google Scholar]
- McKee, Shawn, Andreeva, Julia, Forti, Alessandra, Preparing for the next WLCG Network Data Challenge: Site Network Monitoring, EPJ Web of Conf. 295, 07039 (2024) [Google Scholar]
- Babik, Marian, McKee, Shawn, Bockelman, Brian Paul, Fajardo Hernandez, Edgar Mauricio, Martelli, Edoardo, Vukotic, Ilija, Weitzel, Derek, Zvada, Marian, Improving WLCG Networks Through Monitoring and Analytics, EPJ Web Conf. 214, 08006 (2019) [Google Scholar]
- Y. Kumar, Esnet high touch (2023), https://internet2.edu/wp-content/uploads/2023/09/20230919-kumar-highouch-TechEx-2023.pdf [Google Scholar]
- Misa Moreira, Carmen, Martelli, Edoardo, Cass, Tony, NOTED: An intelligent network controller to improve the throughput of large data transfers in File Transfer Services by handling dynamic circuits, EPJ Web of Conf. 295, 07034 (2024) [Google Scholar]
- Balcas, Justas, Newman, Harvey, Bhat, Preeti P., Würthwein, Frank, Guiang, Jonathan, Arora, Aashay, Davila, Diego, Graham, John, Hutton, Thomas, Lehman, Tom et al., Automated Network Services for Exascale Data Movement, EPJ Web of Conf. 295, 01009 (2024) [Google Scholar]
- O. Martin, J. Martin-Flatin, E. Martelli, P. Moroni, H. Newman, S. Ravot, D. Nae, The DataTAG transatlantic testbed, Future Generation Computer Systems 21, 443 (2005), high-Speed Networks and Services for Data-Intensive Grids: the DataTAG Project [Google Scholar]
- A. Antony, J. Blom, C. de Laat, J. Lee, Exploring practical limitations of TCP over transatlantic networks, Future Generation Computer Systems 21, 489 (2005), high-Speed Networks and Services for Data-Intensive Grids: the DataTAG Project [Google Scholar]
- N. Cardwell, Y. Cheng, C.S. Gunn, S.H. Yeganeh, V. Jacobson, BBR: Congestion-Based Congestion Control: Measuring bottleneck bandwidth and round-trip propagation time, Queue 14, 20–53 (2016) [Google Scholar]
- N. Hanford, B. Tierney, D. Ghosal, Optimizing data transfer nodes using packet pacing, in Proceedings of the Second Workshop on Innovating the Network for Data-Intensive Science (Association for Computing Machinery, New York, NY, USA, 2015), INDIS ’15, ISBN 9781450340021, https://doi.org/10.1145/2830318.2830322 [Google Scholar]
- G. Vaugnin, Deploying a pilot spectrum connection service over garr/geant: Lessons learned (2023), https://indico.geant.org/event/2/contributions/210/attachments/144/356/TNC23_Vuagnin.pptx [Google Scholar]
- R. Walker, The 3 most important factors in datacenter planning: Location, location, location (2024)), https://indico.cern.ch/event/1450885/contributions/6251249/ [Google Scholar]
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