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Koulouzis, Spiros; Martin, Paul; Zhou, Huan; Hu, Yang; Wang, Junchao; Carval, Thierry; Grenier, Baptiste; Heikkinen, Jani; De Laat, Cees; Zhao, Zhiming. |
The increasing volume of data being produced, curated, and made available by research infrastructures in the environmental science domain require services that are able to optimize the delivery and staging of data for researchers and other users of scientific data. Specialized data services for managing data life cycle, for creating and delivering data products, and for customized data processing and analysis all play a crucial role in how these research infrastructures serve their communities, and many of these activities are time-critical-needing to be carried out frequently within specific time windows. We describe our experiences identifying the time-critical requirements of environmental scientists making use of computational research support... |
Tipo: Text |
Palavras-chave: Dynamic Real-Time Infrastructure Planner; E-infrastructure; Research infrastructure; Time-critical services; Virtual research environment. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00643/75557/76479.pdf |
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Koulouzis, Spiros; Carval, Thierry; Heikkinen, Jani; Pursula, Antti; Zhao, Zhiming. |
To perform data-centric research in environmental and earth sciences, researchers need effectively query, select and access data products from different research infrastructures. When providing observation data continuously, infrastructure is expected to create and deliver customised data products, e.g. for specific geo-regions, time durations or observation parameters, to enhance its ability to serve the research communities. Such kind of services often have time-critical requirements; some tasks need to be carried out within specific time windows when the data products are needed for real-time modelling or simulation frameworks. |
Tipo: Text |
Palavras-chave: Research infrastructure; Data subscription; Cloud computing. |
Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00644/75656/76527.pdf |
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