25โ€“29 May 2026
Chulalongkorn University
Asia/Bangkok timezone

Session

Track 7 - Computing infrastructure and sustainability

25 May 2026, 13:45
Chulalongkorn University

Chulalongkorn University

Presentation materials

There are no materials yet.

  1. Mr Andrea Chierici (Universita e INFN, Bologna (IT))
    25/05/2026, 13:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    CNAF is the national center of INFN (Italian Institute for Nuclear Physics) dedicated to Research and Development in Information and Communication Technologies. As the central computing facility of INFN, CNAF has been historically involved in the management and evolution of the most important information and data transmission services in Italy, supporting INFN activities at both national and...

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  2. Tomas Lindรฉn (Helsinki Institute of Physics (FI))
    25/05/2026, 13:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    HPC-resources are important for LHC HEP-experiments currently and they will become even more important as more new CPU-resources are found in HPC-machines and even more computing resources are needed for the High-Luminosity LHC (HL-LHC) era. HPC-resources can be challenging to adapt to HEP workflows. It would be preferable to have an established method of HPC enabling using standard open...

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  3. Pavel Weber (Karlsruhe Institute of Technology (KIT))
    25/05/2026, 14:03
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The EGI Helpdesk, also known as Global Grid User Support (GGUS), is operated within the EGI federation as a core support service for the Worldwide LHC Computing Grid (WLCG) and other distributed research infrastructures, providing coordinated incident handling and service support across hundreds of computing centres. To address growing scalability, interoperability, and sustainability...

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  4. Pablo Llopis Sanmillan (EPFL), Ms Rohini Joshi (FHNW)
    25/05/2026, 14:03
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The SKA SRCNet project will provide a globally distributed network of compute resources to enable scientific analysis of the vast data volumes produced by the Square Kilometre Array. These resources are contributed by institutions across multiple countries and are therefore highly heterogeneous, creating challenges in defining consistent compute pledges, accounting, and fair resource usage...

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  5. Tim Voigtlaender (KIT - Karlsruhe Institute of Technology (DE))
    25/05/2026, 14:21
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    High Energy Particle Physics (HEP) relies on efficient and sustainable computing infrastructures operating at a global scale. These infrastructures must support a broad range of workloads, including machine learning applications, large-scale production campaigns, and heterogeneous end-user analysis jobs. Ensuring that available computing resources can be effectively utilized across this...

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  6. Jack Charlie Munday, Ricardo Rocha (CERN)
    25/05/2026, 14:21
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Over the past few years, CERN has transitioned a significant portion of its IT services and workloads to cloud-native environments, hosted on the CERN Kubernetes Service. These workloads leverage affinity policies within the cluster to optimize availability by distributing replicas across multiple availability zones within a single data center.

    This session will present recent advancements...

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  7. Ozgur Ozan Kilic (Brookhaven National Laboratory), Tianle Wang (Brookhaven National Lab)
    25/05/2026, 14:39
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Scientific workflows are increasingly important in driving scientific discoveries, and future supercomputers must be designed and tuned to execute them efficiently. However, evaluating the performance of emerging computing systems using production-scale workflows is costly and energy-inefficient, especially at extreme scales. Moreover, application-level mini-apps do not capture workflowsโ€™...

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  8. Jingyan Shi (IHEP)
    25/05/2026, 14:39
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Due to procurement at different stages, the computing infrastructure at the IHEP site is highly heterogeneous: the cluster contains multiple node models with varying capabilities, and the performance gap between nodes can be substantial. Traditional scheduling policies do not tightly couple hardware performance characteristics with job behavioral characteristics, which can lead to suboptimal...

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  9. Jack Charlie Munday
    25/05/2026, 14:57
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The Kubernetes platform operated by CERN IT has supported scientific computing, online services and accelerator controls since 2016. It enables fully automated deployment and management of clusters with native integration to CERN storage systems (CVMFS, EOS, AFS, CEPH), authentication (SSO, Kerberos) and networking. Today the service spans more than 600 clusters across CERNโ€™s two main...

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  10. Dr Andrea Sciabร  (CERN)
    25/05/2026, 14:57
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The world of data center technology is experiencing rapid and significant changes, due to an ever increasing demand for hardware in the AI commercial sector, with profound implications for the HEP community. More than ever, the road to HL-LHC requires the experiments to develop and implement radical changes on how they exploit computing and storage resources, to cope with much less favorable...

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  11. Diogo Castro (CERN), Eduardo Rodrigues (University of Liverpool (GB))
    25/05/2026, 16:15
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The LHCb collaboration relies on powerful GPU and CPU clusters for real-time data processing, but these resources can be idle outside data-taking periods. While the trigger CPU farm has already been used for offline processing, specifically for Monte Carlo production, no efforts have been made to repurpose these resources for physics analysis, including ML training and inference.

    Through a...

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  12. Emanuele Simili
    25/05/2026, 16:15
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    We present a pragmatic study of energy-management strategies in a WLCG Tier-2 environment. Building on prior node-level benchmarking (HS23/Watt) and IPMI-based telemetry, we deployed coordinated CPU frequency modulation across the few hundred physical servers at ScotGrid Glasgow and measured cluster-level effects under controlled operating conditions.
    Scaling CPU frequency to a mid-range...

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  13. Daniele Massaro (CERN)
    25/05/2026, 16:33
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Environmental Sustainability of computing has garnered public attention. CERN IT is taking an active role to minimise its environmental impact. This contribution will describe how CERN IT assess its carbon footprint, reduces the impact through improvements of the infrastructure, conscious purchasing and lifecycle management. It will also cover the impact of the the improvement of the...

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  14. Dr Santiago Gonzalez De La Hoz (Univ. of Valencia and CSIC (ES))
    25/05/2026, 16:33
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    This work presents the consolidated contributions of the Spanish Tier-1 and Tier-2 centers to the computing infrastructure of the ATLAS experiment at the LHC. As of September 2025, our focus spans the final phase of Run 3, the ongoing preparations for the Long Shutdown 3 (LS3), and the strategic planning for the High-Luminosity LHC (HL-LHC) era. Our GRID infrastructure is continuously being...

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  15. Mattias Wadenstein (University of Umeรฅ (SE))
    25/05/2026, 16:51
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Reusing heat from computers has the potential of reducing the environmental
    impact of scientific computing in cold places with low carbon electricity.

    In previous work, we have done a lifecycle analysis of carbon emissions
    from scientific computing[1] and in this work we included a simplistic
    model for how heat reuse in northern Sweden could affect the total carbon
    footprint of WLCG...

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  16. Dr Lubos Krcal (CERN)
    25/05/2026, 16:51
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The ALICE Event Processing Nodes (EPN) farm is a high-density GPU HPC system designed primarily for real-time reconstruction of 50 kHz Pb-Pb collisions during LHC Run 3. It is the largest computer farm at CERN in terms of compute capacity. Comprising 350 nodes and 2800 GPUs, with a peak performance of ~42 PFLOP/s single precision, the HPC infrastructure has been operated throughout Run 3 by a...

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  17. Nikita Shadskiy (KIT - Karlsruhe Institute of Technology (DE))
    25/05/2026, 17:09
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The upcoming High-Luminosity Large Hadron Collider (HL-LHC) era will present significant computational challenges, demanding a substantial increase in data processing for the WLCG experiments at CERN. To meet these needs the WLCG is exploring strategies for resource optimization. This includes a paradigm shift towards heterogeneous hardware, recognizing that GPUs are superior to CPUs for...

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  18. Dr Sudha Ahuja (Queen Mary University of London)
    25/05/2026, 17:09
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Queen Mary University of London completed a long planned [1] major refurbishment [2] of its data centre in Autumn 2024. The GridPP Tier-2 cluster is the main tenant of the datacentre which had been upgraded with heat recovery technology to improve energy efficiency whist also increasing rack capacity.

    This contribution reports on the operational experience of the facility from initial...

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  19. Janusz Malka (European XFEL GmbH)
    25/05/2026, 17:27
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    At photon-science facilities such as the European XFEL, large data volumes are generated at multiple experiment stations and under frequently changing configurations.
    The experiments that produce these data typically last only a few days and are carried out by external user teams.

    In this environment, effective management of experimental data is essential for delivering timely,...

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  20. Dr Brij Kishor Jashal (Rutherford Appleton Laboratory)
    25/05/2026, 17:27
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The traditional WLCG computing model has been optimised for high-throughput processing of large numbers of small, independent pp-collision event workloads. This CPU-centric paradigm matched naturally with homogeneous multi-core nodes, where resources could be presented as uniform job slots to Grid middleware. As WLCG sites increasingly deploy modern GPUs, and HEP generator, simulation, and...

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  21. Daniele Spiga, Diego Ciangottini (INFN, Perugia (IT)), Giulio Bianchini (Universita e INFN, Perugia (IT)), Lucio Anderlini (Universita e INFN, Firenze (IT)), Massimo Sgaravatto (Universita e INFN, Padova (IT)), Mauro Gattari (INFN (National Institute for Nuclear Physics)), Mirko Mariotti (Universita e INFN, Perugia (IT)), Rosa Petrini (Universita e INFN, Firenze (IT))
    25/05/2026, 17:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The development of the ecosystems for high energy physics analysis is experiencing a strong push towards the exploration of cloud-native frameworks, especially for what is considered the most interactive and plotting based โ€œlast-mileโ€. Along with the increasing adoption and R&D around ML-based algorithm, these are opening a request for ways to extend a Kubernetes cluster over a range of...

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  22. Miguel Villaplana (IFIC - Univ. of Valencia and CSIC (ES))
    25/05/2026, 17:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    AbstractMonitoring and improving the sustainability of large-scale computing infrastructures has become an increasingly important challenge in High Energy Physics. This work presents the design and implementation of a sustainability-oriented monitoring dashboard for an ATLAS Tier 2 computing centre. The dashboard integrates global site-level metrics and proposes a set of job-level metrics...

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  23. Antonio Delgado Peris (CERN)
    26/05/2026, 13:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The CERN Tier-0, representing around 25% of WLCGโ€™s total CPU capacity, currently handles 125 thousand concurrent jobs. For HL-LHC at full luminosity, we expect this number to increase by a factor between 4 and 7. Therefore, CERN's HTCondor batch system will need to manage a much larger pool of resources and many more computing tasks. This will have an impact on HTCondor's central components,...

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  24. Ricardo Rocha (CERN)
    26/05/2026, 14:03
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The increasing use of GPUs and accelerator-based computing for simulation, reconstruction and machine learning has significantly expanded scientific capabilities in HEP. However, these workloads also introduce new challenges in terms of energy consumption, operational cost and overall carbon footprint, especially as computing demand grows with future experiments.

    This contribution presents...

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  25. Dr Jonathan Woithe (Adelaide University (AU))
    26/05/2026, 14:21
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    AU-Melbourne is the first grid computing site to be implemented entirely in the cloud. Virtual machines are managed with [OpenStack][1] and [Cloud Scheduler v2][2] (CSv2) while an S3 object store functions as the storage backend. The site has been in operation for over 12 months, providing Compute Element (CE) and Storage Element (SE) resources for the ATLAS and Belle II experiments. ...

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  26. Jack Charlie Munday, Ricardo Rocha (CERN)
    26/05/2026, 14:39
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The CERN Container Registry is built on Harbor, a graduated CNCF project capable of managing a wide range of OCI artifacts. It serves use cases at CERN as well as workloads and services across WLCG, and acts as a central registry for Harbor instances running in other WLCG sites. Today, it hosts container images, Helm charts, machine-learning models, SBOMs, and numerous other artifact types....

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  27. Deepak Aggrawal (University of Cambridge), Shaun de Witt
    26/05/2026, 14:57
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    HPC services are increasingly constrained by fixed on-premises capacity, long procurement cycles, and data centre infrastructure limitations. At the University of Cambridge, these pressures are amplified by rapidly evolving AI workloads, where researchers benefit from access to diverse compute resources, both CPU and GPU, often on short timescales. This work presents our approach to extending...

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  28. Jose Flix Molina (CIEMAT - Centro de Investigaciones Energรฉticas Medioambientales y Tec. (ES))
    26/05/2026, 16:15
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The rapid growth in data centre energy demand poses significant challenges for the sustainability of large-scale scientific computing. In alignment with CERN and WLCG strategies on environmentally responsible computing, this work investigates methods to reduce energy consumption, electricity costs, and COโ‚‚ emissions at the PIC WLCG Tier-1 site through energy-aware compute resource...

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  29. Henryk Giemza (Warsaw University of Technology)
    26/05/2026, 16:33
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    A comprehensive assessment of the environmental impact of the LHCb distributed computing requires a detailed understanding of its carbon footprint sources. This involves moving beyond a simple comparison of regional carbon intensity, as the hardware executing the jobs exhibits significant variation in both energy efficiency and computational performance in HEP tasks.

    In this work, we...

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  30. David Britton (University of Glasgow (GB))
    26/05/2026, 16:51
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The WLCG Sustainability Forum was set up in the summer of 2025, to build on the momentum generated by the WLCG Sustainability Workshop in December 2024 and the WLCG workshop plenary session on sustainability in April 2025. In this presentation we review the topics covered in the approximately monthly meetings and highlight community progress towards a better understanding of how to deliver LHC...

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  31. Thomas Byrne
    26/05/2026, 17:09
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Large-scale scientific computing relies on cost-effective, high-capacity storage systems to support data-intensive workloads , such as those from the Worldwide LHC Computing Grid and future data-intensive sciences like the Square Kilometre Array Observatory. At STFC, we evaluated three Ceph-based storage configurations โ€“ 8TB HDD, 22TB HDD, and 15TB TLC NVMe flash. Using low level benchmarks...

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  32. Lars Sowa (KIT - Karlsruhe Institute of Technology (DE))
    26/05/2026, 17:27
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Modern computing sites need to operate on state-of-the-art hardware to achieve efficiency in both economic and environmental terms. As a consequence, sites accumulate substantial amounts of legacy equipment that is no longer competitive for continuous operation. However, this equipment still provides meaningful compute capacity and becomes attractive again when electricity prices are low or...

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  33. Arantza De Oyanguren Campos (Univ. of Valencia and CSIC (ES)), Arantza Oyanguren (IFIC - Valencia)
    26/05/2026, 17:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Measurements of power consumption and sustainability are an imperative matter in view of the next high luminosity era for the LHC collider, which will largely increase the output data rate to perform physics analysis. In the context of the High-Low project at IFIC in Valencia, and involving the ATLAS and LHCb experiments, several studies have been conducted to understand how to optimize the...

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  34. Ryan Taylor (University of Victoria (CA))
    27/05/2026, 13:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The increasing computational scale and complexity of frontier scientific experiments, such as the ATLAS experiment at the Large Hadron Collider, continues to motivate a drive toward operational models that are resilient, automated, reproducible, and scalable. The University of Victoria (UVic) remains at the forefront of advancing cloud-native deployment patterns to address these challenges....

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  35. Jose Flix Molina (CIEMAT - Centro de Investigaciones Energรฉticas Medioambientales y Tec. (ES))
    27/05/2026, 14:03
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The use of the networking protocol IPv6 on the Worldwide Large Hadron Collider Computing Grid (WLCG) storage is very successful and has been presented at earlier CHEP conferences. The campaign to deploy IPv6 on CPU services and worker nodes is going well. Dual-stack IPv6/IPv4 is not, however, a viable long-term solution; the ultimate goals include allowing WLCG sites to move completely to...

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  36. Mattias Wadenstein (University of Umeรฅ (SE))
    27/05/2026, 14:21
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The driver for phasing out IPv4 in the Nordic Tier-1 site (NT1, aka NDGF-T1) sooner rather than later is that we forsee a significant risk of running out of IPv4 addresses when scaling storage servers horizontally in order to handle the High Luminosity LHC (HL-LHC) data rates. We expect to have a data rate of 10-20 times when HL-LHC comes online in 2030, and the most cost-effective way to...

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  37. Chin Guok
    27/05/2026, 14:39
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    High-energy physics experiments routinely perform petabyte-scale file transfers across distributed grid sites while simultaneously streaming data for interactive analysis, making traffic type differentiation critical for network orchestration, bandwidth forecasting, and responsiveness to operational demands. We present a machine learningโ€“based traffic classification system that requires no...

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  38. Marian Babik (CERN), Tristan Sullivan (University of Victoria (CA))
    27/05/2026, 14:57
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Research and Education Networks (RENs) transport vast amounts of scientific data, but gaining granular visibility into this traffic is difficult. Understanding the composition of this traffic is essential for enabling efficient network use, traffic steering, future provisioning, and capacity planning. Traditional network flow data offers only limited insight into the specific activities...

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  39. Jiri Chudoba (Czech Academy of Sciences (CZ))
    27/05/2026, 16:15
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The Czech WLCG Tier-2 reliably delivers computing and storage pledges to the LHC experiments through a geographically distributed infrastructure. CZ-Tier-2 resources are deployed across three sites and interconnected by high-capacity links provided by the Czech NREN, CESNET. In addition, significant CPU capacity from the Czech national supercomputing center IT4I is integrated into WLCG...

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  40. Stefan Krischer (RWTH Aachen University)
    27/05/2026, 16:15
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The rapidly growing energy demand of large-scale scientific computing infrastructures could significantly impact the environmental footprint of future experiments. For the Einstein Telescope (ET), sustainability is therefore a key design criterion from an early stage. The SCOPE project (Sustainable Computing Prototype for the Einstein Telescope) addresses this challenge by developing and...

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  41. Lael Verace (University of Wisconsin-Madison (US))
    27/05/2026, 16:33
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The next generation of scientific experiments, particularly those found in high energy and nuclear physics, will produce unprecedented data volumes which will push scientific computing infrastructures to rely on terabit-scale networks for rapid, reliable data movement between globally distributed facilities. In parallel, advances in artificial intelligence continue to significantly increase...

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  42. Thomas Owen James (CERN)
    27/05/2026, 16:33
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The High-Luminosity LHC (HL-LHC) era will confront particle physics experiments with unprecedented challenges in data volume, computational complexity, and real-time decision making. Preparing for this paradigm shift requires innovation across the full computing and triggering stack. Within this context, CERN openlab plays a central role in exploring and validating emerging technologies in...

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  43. Petya Vasileva (University of Michigan (US))
    27/05/2026, 16:51
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    We present a series of case studies analyzing real-world network incidents within the WLCG infrastructure using traceroute and performance data from perfSONAR. Our methodology combines path-based anomaly detection with latency and throughput monitoring to identify routing disruptions, topological changes, and their correlation with performance degradation. The approach highlights common...

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  44. Rohini Joshi (FHNW), Rohini Joshi
    27/05/2026, 16:51
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The Square Kilometre Array (SKA) telescopes, currently under construction in South Africa and Australia, are due to enter Science Verification at the end of 2026. The SKA Regional Centre Network (SRCNet) is federating distributed, heterogenous regional centres into a coherent global infrastructure to store and process SKAO data. This contribution presents the distributed computing challenges...

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  45. Sergio Andreozzi
    27/05/2026, 17:09
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The SPECTRUM project (https://spectrumproject.eu/), funded under Horizon Europe, presents its final deliverables: the Strategic Research, Innovation and Deployment Agenda (SRIDA) and the Technical Blueprint for a European compute and data continuum serving data-intensive science communities.

    The SRIDA is structured around four pillars encompassing 13 strategic priorities spanning technical...

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  46. Andrew Malone Melo (Vanderbilt University (US))
    27/05/2026, 17:09
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Efficient wide-area data transfers are vital for LHC and multi-site scientific workflows, but host-level configuration, encompassing network, storage, and CPU/memory resources, often constrains end-to-end performance. We present the results of a WLCG mini-capability challenge focused on host optimization using modern systems (RHEL 9, 25+ Gbps NICs, NVMe/SSD storage) across seven ATLAS and CMS...

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  47. Siqi Hou
    27/05/2026, 17:27
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The efficient and stable operation of the data processing pipeline is fundamental to the success of primordial gravitational wave telescopes like the Ali CMB Polarization Telescope (AliCPT). However, the management of its heterogeneous computing and hardware ecosystemโ€”servers, virtual machines, storage systems, and the remote observatory environment at the high-altitude site in Tibetโ€”poses a...

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  48. Marian Babik, Marian Babik (CERN)
    27/05/2026, 17:27
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Demonstrating the distribution of entangled photon pairs is a key step toward large-scale quantum networks, which could interconnect future quantum computers and form the foundation of a quantum internet. A major challenge in long-distance quantum communication is coping with varying conditions in deployed optical fibers. When a classical signal co-propagates with single photons in the same...

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  49. Antonio Linares (CERN)
    27/05/2026, 17:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The CMS Tier-0 system is responsible for the prompt processing and distribution of data collected by the CMS experiment. During Run 3, the LHC delivered almost twice the luminosity of Run 2, while the CMS physics program intensified and diversified year by year, resulting in an average data rate of up to 12 GB/s and a total RAW data volume of 110 PB so far. Higher load places increased...

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  50. Petya Vasileva (University of Michigan (US))
    27/05/2026, 17:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    We present a modular alarm and visualization framework designed to detect and interpret network anomalies that lead to performance degradation in WLCG infrastructures. The system consists of two interoperable components: Alarms And Alerts System, a Kubernetes-based backend that ingests perfSONAR measurements and automatically identifies routing changes, performance degradations, and related...

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  51. Octavian-Mihai Matei (CERN)
    28/05/2026, 13:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Over the past 70 years, CERNโ€™s pioneering work in particle physics and more than a decade of operations at the Large Hadron Collider (LHC) has driven a dramatic transformation in data storage. With each new experimental run, the scale and complexity of data handling continue to grow. As we approach the next Long Shutdown (LS3) and the High-Luminosity LHC (HL-LHC) era, storage infrastructure...

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  52. Pierfrancesco Cifra (CERN)
    28/05/2026, 14:03
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Data centers play a key role in High Energy Physics (HEP) experiments, as there is the need to collect, process, and store large quantities of data. Given the scale and complexity of those computing infrastructures, it is not trivial to spot failures of any nature. Traditional rule-based monitoring systems work well, but they might struggle in large, heterogeneous, and dynamic environments. It...

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  53. Carlos Borrajo Gomez (CERN)
    28/05/2026, 14:21
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Over the last years the landscape of distributed resources used by the CMS experiment has changed significantly. In the past, dedicated compute resources were essentially based on (pledged) x86-CPU installed at classical Grid sites. Nowadays other CPU architectures such as ARM and accelerators like GPUs have become common resources also thanks to the non-Grid opportunistic centres such as HPCs...

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  54. Mr Zhenyuan Wang (Computing center, Institute of High Energy Physics, CAS, China)
    28/05/2026, 14:39
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    With the escalating processing demands of modern high-energy physics experiments, traditional monitoring tools are faltering under the dual pressures of cumbersome deployment and coarse-grained observability in high-throughput production environments. JobLens is a lightweight, one-click-deployable data collector designed to deliver fine-grained, job-level observability for HEP workloads. Its...

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  55. Natalia Diana Szczepanek (CERN)
    28/05/2026, 14:57
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The Worldwide LHC Computing Grid (WLCG) provides the distributed infrastructure necessary to support both LHC and non-LHC experiments; however, the corresponding rise in energy usage presents new challenges, in particular with the upcoming HL-LHC era, where computing requirements will continue to expand significantly.
    Therefore monitoring power consumption has become increasingly important,...

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  56. Raulian-Ionut Chiorescu, Ricardo Rocha (CERN)
    28/05/2026, 16:15
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    High Energy Physics (HEP) computing at CERN has long relied on interactive SSH environments, shared software stacks and large-scale batch systems. As workloads increasingly adopt containerized and accelerator-driven execution models, a key requirement is to provide a consistent user interface while enabling modern orchestration platforms.

    This contribution presents the computing platform...

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  57. Lia Lavezzi (INFN Torino (IT)), Lia Lavezzi
    28/05/2026, 16:33
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The Einstein Telescope, the third generation ground-based interferometer for gravitational wave detection, will observe a sky volume one thousand times larger than the second generation interferometers. This will be reflected in a higher observation rate. The physics information contained in the โ€œstrainโ€ time series will increase, while on the machine side the size of the raw data from the...

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  58. Sergiu Weisz (National University of Science and Technology POLITEHNICA Bucharest (RO))
    28/05/2026, 16:51
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Hosted by the National University of Science and Technology POLITEHNICA Bucharest, the RO-03-UPB site has been an active member of the WLCG computing Grid since 2017 and a member of the ALICE Grid since 2005. Over the course of this collaboration, the site has evolved significantly: originally deployed as a Tier-2 facility, it has grown into a major contributor to the ALICE Grid, currently...

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  59. Francesco Sborzacchi (CERN)
    28/05/2026, 17:09
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    During Long Shutdown 3 (LS3), the LHCb experiment will undergo a major upgrade, requiring a new data centre to cope with the 32โ€ฏTb/s of data produced by the detector. Part of the data-acquisition infrastructure, mostly composed of Commercial Off-The-Shelf (COTS) Data Center hardware, must be installed close to the detector, which introduces several challenges, including limited underground...

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  60. Diego Ciangottini (INFN, Perugia (IT))
    28/05/2026, 17:27
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    The acceleration of machine learning and domain algorithm inference is increasing in importance as the LHC and other domains seek to improve reconstruction and analysis performance in extreme environments. At the same time, the geographically distributed computing infrastructure model is increasing in complexity, with the introduction of heterogeneous resources (HPC, HTC, cloud). There is...

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  61. Mr Andrey Shevel (Petersburg Nuclear Physics Institute named by B.P. Konstantinov of National Research Centre ยซKurchatov Instituteยป (NRC ยซKurchatov Instituteยป - PNPI))
    28/05/2026, 17:45
    Track 7 - Computing infrastructure and sustainability
    Oral Presentation

    Traditional server network monitoring relies on specialized tools and complex queries, demanding significant domain expertise and being time-consuming. We propose a Digital Twin (DT) framework that provides a real-time, unified model of network behavior, enabling intuitive natural-language interactions powered by large language models (LLMs).
    The DT fuses live telemetry from monitoring...

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