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DataCloud infrastructure to manage FAIR environmental data

AuthorsAguilar, Fernando
Data processing methods
Software architectures
Issue Date3-Apr-2020
PublisherIOP Publishing
CitationJournal of Instrumentation 15: C04009 (2020)
AbstractThe use of Jupyter notebooks as a platform for data management is becoming popular in different disciplines thanks to the features provided: web-based interface, code running capabilities, customization, kernel configuration, etc. However, it is sometimes limited to the server capacity, so working with big datasets is difficult since certain data analysis requires intensive computing or even GPUs. Thanks to diverse Cloud Computing-based solutions, specially those provided by eXtreme-DataCloud project, these limitations can be solved, providing an integrated environment where storage and computing resources could support a system in a transparent way for the user
‘This is the version of the article before peer review or editing, as submitted by an author to Journal of Instrumentation. IOP Publishing Ltd is not responsible for any errors or omissions in this version of the manuscript or any version derived from it. The Version of Record is available online at 10.1088/1748-0221/15/04/C04009
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