New paper by C-SCALE partners

An open compute and data federation as an alternative to monolithic infrastructures for big Earth data analytics

An adequate compute and storage infrastructure supporting the full exploitation of Copernicus and Earth Observation datasets is currently not available in Europe. Björn Backeberg, together with other C-SCALE partners, has recently published a new article presenting the cross-disciplinary open-source technologies that are leveraged in the C-SCALE project. Those technologies aim to develop an open federation of compute and data providers as an alternative to monolithic infrastructures for processing and analysing Copernicus and Earth Observation data.

Three critical aspects of the federation and the chosen technologies are elaborated upon: (1) federated data discovery, (2) federated access and (3) software distribution. With these technologies the open federation aims to provide homogenous access to resources, thereby enabling its users to generate meaningful results quickly and easily. This will be achieved by abstracting the complexity of infrastructure resource access provisioning and orchestration, including the discovery of data across distributed archives, away from the end-users. This is needed because end-users wish to focus on analysing ready-to-use data products and models rather than spending their time on the setup and maintenance of complex and heterogeneous IT infrastructures. The open federation will support processing and analysing the vast amounts of Copernicus and Earth Observation data that are critical for the implementation of the Destination Earth resp. Digital Twins vision for a high precision digital model of the Earth to model, monitor and simulate natural phenomena and related human activities.

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To cite this article

Björn Backeberg, Zdeněk Šustr, Enol Fernández, Gennadii Donchyts, Arjen Haag, J. B. Raymond Oonk, Gerben Venekamp, Benjamin Schumacher, Stefan Reimond & Charis Chatzikyriakou (2022) An open compute and data federation as an alternative to monolithic infrastructures for big Earth data analytics, Big Earth Data, DOI: 10.1080/20964471.2022.2094953

This post has been originally published on the C-SCALE website.


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