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1.
Analyzing, Identifying & Alerting on Network Issues / Vasileva, Petya (Michigan U. ; Plovdiv U.) ; Babik, Marian (CERN) ; McKee, Shawn (Michigan U.) ; Vukotic, Ilija (Chicago U.)
The Worldwide LHC Computing Grid (WLCG) relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective network usage and prompt detection and resolution of any network issues, including connection failures, congestion, and traffic routing. In this paper, we will describe our ongoing work to proactively analyze, correlate and alert on various network and infrastructure issues. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 07003 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07003
2.
New XrootD Monitoring Implementation / Garrido, Borja (CERN) ; Andreeva, Julia (Nebraska U.) ; Weitzel, Derek (Manchester U.) ; Forti, Alessandra (Michigan U.) ; McKee, Shawn (Michigan U.)
Complete and reliable monitoring of the WLCG data transfers is an important condition for effective computing operations of the LHC experiments. WLCG data challenges organized in 2021 and 2022 highlighted the need for improvements in WLCG data traffic monitoring. [...]
2024 - 7 p. - Published in : EPJ Web Conf. 295 (2024) 01040 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01040
3.
Identifying and Understanding Scientific Network Flows / Research Networking Technical Working Group Collaboration
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. [...]
2024 - 7 p. - Published in : EPJ Web Conf. 295 (2024) 01036 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.01036
4.
Preparing for the next WLCG Network Data Challenge: Site Network Monitoring / McKee, Shawn (Michigan U.) ; Andreeva, Julia (CERN) ; Forti, Alessandra (Manchester U.) /WLCG Monitoring Task Force Collaboration
During the first WLCG Network Data Challenge in fall of 2021 (DC21) we identified shortcomings in the monitoring that impeded our ability to fully understand the results collected during the data challenge. One of the simplest missing components was site-specific network information, especially information about traffic entering and leaving any of the participating sites. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 07039 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07039
5.
Collaborative Operational Security: The future of Cybersecurity for Research and Education / Crooks, David (Rutherford) ; Acris, James (Rutherford) ; Atherton, Liam (Rutherford) ; Clark, Paul (Durham U.) ; Cutrina, Pau (CERN) ; Jordan, David (Chicago U.) ; McKee, Shawn (Michigan U.) ; Vâlsan, Liviu (Durham U.)
No single organisation has the resources to defend its services alone against most modern malicious actors and so we must protect ourselves as a community. In the face of determined and well-resourced attackers, we must actively collaborate in this effort across HEP and more broadly across Research and Education (R&E;).Parallel efforts are necessary to respond appropriately to this requirement. [...]
2024 - 8 p. - Published in : EPJ Web Conf. 295 (2024) 04013 Fulltext: PDF;
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.04013
6.
Overcoming obstacles to IPv6 on WLCG / Babik, Marian (CERN) ; Bly, Martin (Rutherford) ; Buraglio, Nick (LBL, Berkeley) ; Chown, Tim (JISC) ; Christidis, Dimitrios (CERN) ; Chudoba, Jiri (Prague, Inst. Phys.) ; DeMar, Phil (Fermilab) ; Molina, José Flix (Madrid, CIEMAT) ; Grigoras, Costin (CERN) ; Hoeft, Bruno (KIT, Karlsruhe) et al.
The transition of the Worldwide Large Hadron Collider Computing Grid (WLCG) storage services to dual-stack IPv6/IPv4 is almost complete; all Tier-1 and 94% of Tier-2 storage are IPv6 enabled. While most data transfers now use IPv6, a significant number of IPv4 transfers still occur even when both endpoints support IPv6. [...]
FERMILAB-CONF-22-902-SCD.- 2024 - 9 p. - Published in : EPJ Web Conf. 295 (2024) 07036 Fulltext: d54d88c3314bc3339be13066a6bc1224 - PDF; document - PDF; External link: Fermilab Library Server
In : 26th International Conference on Computing in High Energy & Nuclear Physics, Norfolk, Virginia, Us, 8 - 12 May 2023, pp.07036
7.
IRIS-HEP Strategic Plan for the Next Phase of Software Upgrades for HL-LHC Physics / Bockelman, Brian (Wisconsin U., Madison) ; Elmer, Peter (Princeton U.) ; Watts, Gordon (Washington U., Seattle) ; Cranmer, Kyle (Wisconsin U., Madison) ; Feickert, Matthew (Wisconsin U., Madison) ; Gardner, Rob (Chicago U.) ; Gray, Heather (LBNL, Berkeley ; UC, Berkeley) ; Held, Alexander (Wisconsin U., Madison) ; Katz, Daniel S. (Illinois U., Urbana) ; Lange, David (Princeton U.) et al.
The quest to understand the fundamental building blocks of nature and their interactions is one of the oldest and most ambitious of human scientific endeavors. [...]
arXiv:2302.01317 ; FERMILAB-PUB-23-068-PPD.
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Fermilab Library Server - Fulltext - Fulltext
8.
The Service Analysis and Network Diagnosis DataPipeline / Weitzel, Derek (Nebraska U.) ; McKee, Shawn (Michigan U.) ; Bockelman, Brian Paul (Unlisted, US, WI) ; Thiltges, John (Nebraska U.) ; Babik, Marian (CERN) ; Vukotic, Ilija (Chicago U.)
Modern network performance monitoring toolkits, such as perfSONAR, take a remarkable number of measurements about the local network environment. [...]
arXiv:2112.03074.
- 10 p.
Fulltext
9.
WLCG Networks: Update on Monitoring and Analytics / Babik, Marian (CERN) ; McKee, Shawn (Michigan U.) ; Andrade, Pedro (CERN) ; Bockelman, Brian Paul (Inst. Adv. Stud. SPES, Madison) ; Gardner, Robert (Chicago U., EFI) ; Fajardo Hernandez, Edgar Mauricio (UC, San Diego) ; Martelli, Edoardo (CERN) ; Vukotic, Ilija (Chicago U., EFI) ; Weitzel, Derek (Nebraska U.) ; Zvada, Marian (Nebraska U.)
WLCG relies on the network as a critical part of its infrastructure and therefore needs to guarantee effective network usage and prompt detection and resolution of any network issues including connection failures, congestion and traffic routing. The OSG Networking Area, in partnership with WLCG, is focused on being the primary source of networking information for its partners and constituents. [...]
arXiv:2007.00598.- 2020 - 8 p. - Published in : EPJ Web Conf. 245 (2020) 07053 Fulltext: fulltext1804620 - PDF; 2007.00598 - PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07053
10.
Network Capabilities for the HL-LHC Era / Babik, Marian (CERN) ; McKee, Shawn (Michigan U.)
High Energy Physics (HEP) experiments rely on the networks as one of the critical parts of their infrastructure both within the participating laboratories and sites as well as globally to interconnect the sites, data centers and experiments instrumentation. Network virtualisation and programmable networks are two key enablers that facilitate agile, fast and more economical network infrastructures as well as service development, deployment and provisioning.Adoption of these technologies by HEP sites and experiments will allow them to design more scalable and robust networks while decreasing the overall cost and improving the effectiveness of the resource utilization.The primary challenge we currently face is ensuring that WLCG and its constituent collaborations will have the networking capabilities required to most effectively exploit LHC data for the lifetime of the LHC. [...]
arXiv:2007.00594.- 2020 - 8 p. - Published in : EPJ Web Conf. 245 (2020) 07051 Fulltext: fulltext1804608 - PDF; 2007.00594 - PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.07051

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2 McKee, Sean
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53 Mckee, S
24 Mckee, Shawn
1 Mckee, Stephen L
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