The keys to the management of time-evolution signals on HDF5 files in ITER

ITER (International Thermonuclear Experimental Reactor) is the largest international experiment in the field of generating nuclear‑fusion energy by magnetic confinement. ITER’s objective is to operate in modes that come as close as possible to the conditions of a commercial fusion reactor, which implies long pulses and systems running continuously. From the point of view of the data acquisition and control system, ITER, on the one hand, requires an enormous number of signals (due to its size and experimental nature), many of them with a very high sampling rate (due to the highly chaotic nature of the plasma under extreme conditions), and, on the other hand, it requires a data storage and management system compatible with long pulse and continuous data acquisition. These requirements have driven the design and implementation of ITER’s data‑storage and management system, where time‑evolving signals and their real‑time processing have absorbed the great majority of development effort. From the very beginning, ITER chose HDF5. This presentation describes the technical factors that have proved decisive in using HDF5 as the core technology for storing and managing all of ITER’s time‑evolving signals, as well as for the real‑time handling of their data. It details the different challenges that have been addressed throughout the project, together with a detailed description of the solutions that have been adopted at the design and implementation level.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-05-26
DOI
https://doi.org/10.5281/zenodo.15727852
Primary Topic
Magnetic confinement fusion research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The keys to the management of time-evolution signals on HDF5 files in ITER

Zenodo (CERN European Organization for Nuclear Research)
Magnetic confinement fusion research
article

The keys to the management of time-evolution signals on HDF5 files in ITER

article en

Abstract

ITER (International Thermonuclear Experimental Reactor) is the largest international experiment in the field of generating nuclear‑fusion energy by magnetic confinement. ITER’s objective is to operate in modes that come as close as possible to the conditions of a commercial fusion reactor, which implies long pulses and systems running continuously. From the point of view of the data acquisition and control system, ITER, on the one hand, requires an enormous number of signals (due to its size and experimental nature), many of them with a very high sampling rate (due to the highly chaotic nature of the plasma under extreme conditions), and, on the other hand, it requires a data storage and management system compatible with long pulse and continuous data acquisition. These requirements have driven the design and implementation of ITER’s data‑storage and management system, where time‑evolving signals and their real‑time processing have absorbed the great majority of development effort. From the very beginning, ITER chose HDF5. This presentation describes the technical factors that have proved decisive in using HDF5 as the core technology for storing and managing all of ITER’s time‑evolving signals, as well as for the real‑time handling of their data. It details the different challenges that have been addressed throughout the project, together with a detailed description of the solutions that have been adopted at the design and implementation level.

Zenodo (CERN European Organization for Nuclear Research)
Indra (Spain) (ES), Centro de Investigaciones Energéticas, Medioambientales y Tecnológicas (ES)
Openalex Percentile: Top 79%
Magnetic confinement fusion research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.