Fast & Furious: Research Edition
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Strap in for a high-speed ride through the world of research networking! From deep-sea cables to black holes and stormy weather, this session explores how cutting-edge networks fuel fast, data-intensive research. When data moves at the speed of light (literally), challenges like security risks, infrastructure gaps, and massive data volumes can make or break a project. But with trusted environments, smarter architectures, and faster validation techniques, the research community is shifting into high gear. Whether it’s saving the planet, decoding the universe, or outpacing the next storm, this session proves that in research, speed isn’t just thrilling—it’s essential.
Chair: Anca Hienola (Finnish Meteorological Institute)
Leveraging EUMETCast Terrestrial and NREN Infrastructure for Efficient, Reliable Near Real-Time Weather Data Distribution
Given the increasing frequency of severe weather events globally, the need for accurate and reliable weather forecasts, relying on Near Real-Time (NRT) data, has become more critical than ever. This presentation explores EUMETSAT's EUMETCast Terrestrial service, delivered over GÉANT networks, providing high-quality NRT meteorological data. It highlights the technical implementation of Automatic Multicast Tunneling (AMT) and Source-Specific Multicast, focusing on their impact on accessibility, cost-effectiveness, and reliability for weather agencies. The session also discusses the benefits of leveraging NREN infrastructure to enable efficient global data distribution, and examines how service evolution is meeting the growing demands of users.
Speakers: Rich Adam (GÉANT), Dr Ruth Britton (EUMETSAT)
Given the increasing frequency of severe weather events globally, the need for accurate and reliable weather forecasts, relying on Near Real-Time (NRT) data, has become more critical than ever. This presentation explores EUMETSAT's EUMETCast Terrestrial service, delivered over GÉANT networks, providing high-quality NRT meteorological data. It highlights the technical implementation of Automatic Multicast Tunneling (AMT) and Source-Specific Multicast, focusing on their impact on accessibility, cost-effectiveness, and reliability for weather agencies. The session also discusses the benefits of leveraging NREN infrastructure to enable efficient global data distribution, and examines how service evolution is meeting the growing demands of users.
Speakers: Rich Adam (GÉANT), Dr Ruth Britton (EUMETSAT)
Accelerating the Event Horizon Telescope's Speed to Science: Leveraging High-Speed Networks for Early Data Validation
The Event Horizon Telescope (EHT) is an international collaboration of 11 telescopes and two correlator sites capturing groundbreaking images of black holes. Traditionally, data collected during observations is stored on physical disks and shipped to processing facilities, causing delays in confirming telescope configurations. This new precheck demonstration leverages high-speed research and education (R&E) networks to transfer a subset of data in near-real time to MIT Haystack Observatory. This enables rapid validation of site setups, reducing the risk of errors during critical campaigns. International Networks at Indiana University, in collaboration with global partners will demonstrate real time data processing and fringe detection to highlight the impact of advanced networking and collaboration on scientific discovery.
Speakers: Edward Moynihan (Indiana University), Jason SooHoo (MIT Haystack Observatory), Brenna Meade (Indiana University)
The Event Horizon Telescope (EHT) is an international collaboration of 11 telescopes and two correlator sites capturing groundbreaking images of black holes. Traditionally, data collected during observations is stored on physical disks and shipped to processing facilities, causing delays in confirming telescope configurations. This new precheck demonstration leverages high-speed research and education (R&E) networks to transfer a subset of data in near-real time to MIT Haystack Observatory. This enables rapid validation of site setups, reducing the risk of errors during critical campaigns. International Networks at Indiana University, in collaboration with global partners will demonstrate real time data processing and fringe detection to highlight the impact of advanced networking and collaboration on scientific discovery.
Speakers: Edward Moynihan (Indiana University), Jason SooHoo (MIT Haystack Observatory), Brenna Meade (Indiana University)
Fibre Optic Sensing - A Disruptive Technology on top of GÉANT Network Infrastructure
Fibre Optic Sensing (FOS) exploits fibres’ exceptional sensitivity to subtle changes in acoustics, strain, pressure, and temperature. Integrator instruments, AI assisted signal analytics and event fingerprinting, can monitor earthquakes, tsunamis, global environment, marine health, critical infrastructure, ocean vessels movements and more, in real time. The massive volumes of nontrivial real-time data pose significant data management challenges and has serious national security implications. To address this, a SUBMERSE project White Paper outlines a FOS Collaborative Framework, based on a "Trusted Research Environment (TRE)" approach, which will be elaborated in this talk.
Speaker: Rene Belso (Danish e-infrastructure Consortium (DeiC))
Fibre Optic Sensing (FOS) exploits fibres’ exceptional sensitivity to subtle changes in acoustics, strain, pressure, and temperature. Integrator instruments, AI assisted signal analytics and event fingerprinting, can monitor earthquakes, tsunamis, global environment, marine health, critical infrastructure, ocean vessels movements and more, in real time. The massive volumes of nontrivial real-time data pose significant data management challenges and has serious national security implications. To address this, a SUBMERSE project White Paper outlines a FOS Collaborative Framework, based on a "Trusted Research Environment (TRE)" approach, which will be elaborated in this talk.
Speaker: Rene Belso (Danish e-infrastructure Consortium (DeiC))
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