Scitags: A Standardized Framework for Traffic Identification and Network Visibility in Data-Intensive Research Infrastructures

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 an update on the status of the work carried out to tackle this challenge by 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 2026. The Scitags initiative is a long-term effort to improve the visibility and management of network traffic for data-intensive sciences. It has 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.

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Publication Details

Journal
EPJ Web of Conferences
Published
2025-01-01
DOI
https://doi.org/10.1051/epjconf/202533701357
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00

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article

Scitags: A Standardized Framework for Traffic Identification and Network Visibility in Data-Intensive Research Infrastructures

Andrew Hanushevsky, Karl M. Newell, Dale Carder, S. P. Mc Kee et al.
EPJ Web of Conferences
Scientific Computing and Data Management
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Scitags: A Standardized Framework for Traffic Identification and Network Visibility in Data-Intensive Research Infrastructures

Andrew Hanushevsky, Karl M. Newell, Dale Carder, S. P. Mc Kee, Garhan Attebury, Bruno Hoeft, Tim Chown, Michael Lambert, T. Sullivan, Marian Babik, Andrew Lake, Pablo Collado
article en

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 an update on the status of the work carried out to tackle this challenge by 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 2026. The Scitags initiative is a long-term effort to improve the visibility and management of network traffic for data-intensive sciences. It has 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.

EPJ Web of ConferencesVol. 337
Karlsruhe Institute of Technology (DE), University of Nebraska–Lincoln (US), Lawrence Berkeley National Laboratory (US), University of Victoria (CA), University of Michigan (US), SLAC National Accelerator Laboratory (US), Pittsburgh Supercomputing Center (US), Internet2 (US), Universidad Autónoma de Madrid (ES), European Organization for Nuclear Research (CH), Carnegie Mellon University (US), Jisc (GB)
National Science Foundation, CERN
Openalex Percentile: Top 73%
Scientific Computing and Data Management
DOIOpen Access PDFOpenAlex
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