A New Age for Data Exploitation in Science and Mission Operations

被引:0
|
作者
Navarro, Vicente [1 ]
del Rio, Sara [2 ]
Angel Diego, Miguel [3 ]
Lopez Caniego, Marcos [3 ]
Marinic, Filip [1 ]
Reerink, Jan [1 ]
Arviset, Christophe [1 ]
机构
[1] European Space Agcy ESA, Dept Sci & Operat, Camino Bajo Castillo S-N, Madrid 28691, Spain
[2] Star ESA, Dept Sci & Operat, Camino Bajo Castillo S-N, Madrid 28691, Spain
[3] Aurora ESA, Dept Sci & Operat, Camino Bajo Castillo S-N, Madrid 28691, Spain
来源
SPACE OPERATIONS, SPACEOPS 2023 | 2025年
关键词
ML; Exploitation platforms; HPC; Containers; Big Data; SaaS;
D O I
10.1007/978-3-031-60408-9_13
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
At the European Space Astronomy Centre (ESAC) near Madrid, the ESAC Science Data Centre (ESDC) hosts ESA archives for Astronomy, Planetary and Heliophysics Space Science. Furthermore, the GNSS Science Support Centre (GSSC), with special attention to Galileo and EGNOS, consolidates an ESA archive for scientific exploitation of Global Navigation Satellite Systems (GNSS). The sheer amount of data derived from current development plans for Space Science and Navigation Systems, constitutes a unique opportunity for research. Nevertheless, this deluge of data triggers a depart from standard processes and architectures supporting archives exploitation. More than ever, science innovation requires to integrate multiple data sources, sophisticated computing algorithms and cross-domain collaboration system to achieve its goals. Hence, motivated by this increasingly complex landscape, 'ESA Datalabs' and 'GSSC Now' platforms expand Space and Navigation Science archives respectively, with a brand-new palette of collaboration, exploration, and analysis capabilities. Designed from the ground-up with a focus on end-user productivity, these platforms accelerate time to market for science operations developments and increase their return on investment, unleashing the full potential of ESA Missions archives. Transparently to the user, the two platforms implement advanced network and computing capabilities to leave behind the discovery and download science era. This work presents ESA vision and initiatives to provide a multi-mission environment for Science Data Exploitation, centered on the transformative concept of relocating processing components to the data, rather than transferring vast datasets to the users.
引用
收藏
页码:275 / 289
页数:15
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