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Identifying and Understanding Scientific Network Flows

Hoeft, Bruno ORCID iD icon 1; Attebury, Garhan; Babik, Marian; Carder, Dale; Chown, Tim; Hanushevky, Andrew; Lake, Andrew; Lambert, Michael; Letts, James; McKee, Shawn; Newell, Karl; Sullivan, Tristan
1 Scientific Computing Center (SCC), Karlsruher Institut für Technologie (KIT)

Abstract:

The High-Energy Physics (HEP) and Worldwide LHC Computing Grid (WLCG) communities have faced significant challenges in understanding their global network flows across the world’s research and education (R&E) networks. This article describes the status of the work carried out to tackle this challenge by the Research Technical Networking Working Group (RNTWG) and the Scientific Network Tags (Scitags) initiative, including the evolving framework and tools, as well as our plans to improve network visibility before the next WLCG Network Data Challenge in early 2024. The Scitags initiative is a long-term effort to improve the visibility and management of network traffic for data-intensive sciences. The efforts of the RNTWG and Scitags initiatives have created a set of tools, standards, and proof-of-concept demonstrators that show the feasibility of identifying the owner (community) and purpose (activity) of network traffic anywhere in the network.


Verlagsausgabe §
DOI: 10.5445/IR/1000181154
Veröffentlicht am 17.04.2025
Originalveröffentlichung
DOI: 10.1051/epjconf/202429501036
Scopus
Zitationen: 5
Dimensions
Zitationen: 6
Cover der Publikation
Zugehörige Institution(en) am KIT Scientific Computing Center (SCC)
Publikationstyp Proceedingsbeitrag
Publikationsdatum 06.05.2024
Sprache Englisch
Identifikator ISBN: 2100-014X
KITopen-ID: 1000181154
HGF-Programm 53.52.02 (POF IV, LK 02) GridKa
Erschienen in 26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023), Norfolk, 8th-12th May 2023
Veranstaltung 26th International Conference on Computing in High Energy and Nuclear Physics (2023), Norfolk, VA, USA, 08.05.2023 – 12.05.2023
Verlag EDP Sciences - Web of Conferences
Seiten Art-nr.:01036
Serie EPJ Web of Conferences (EPJ Web of Conf.) ; 295
Schlagwörter firefly, flow labeling, elefant flow
Nachgewiesen in Dimensions
OpenAlex
Scopus
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