Storage infrastructures to support advanced scientific workflows. Towards research data management aware storage infrastructures

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dc.contributor.author Suchodoletz, Dirk von
dc.contributor.author Hahn, Ulrich
dc.contributor.author Wiebelt, Bernd
dc.contributor.author Glogowski, Kolja
dc.contributor.author Seifert, Mark
dc.date.accessioned 2019-04-09T13:36:23Z
dc.date.available 2019-04-09T13:36:23Z
dc.date.issued 2019-04
dc.identifier.other 1668955989
dc.identifier.uri http://hdl.handle.net/10900/87672
dc.identifier.uri http://nbn-resolving.de/urn:nbn:de:bsz:21-dspace-876729 de_DE
dc.identifier.uri http://dx.doi.org/10.15496/publikation-29058
dc.description.abstract The operators of the federated research infrastructures at the involved HPC computer centers face the challenge of how to provide storage services in an increasingly diverse landscape. Large data sets are often created on one system and computed or visualized on a different one. Therefore cooperation across institutional boundaries becomes a significant factor in modern research. Traditional HPC workflows assume certain preliminaries like POSIX file systems which cannot be changed on a whim. A modern research data management aware storage system needs to bridge from the existing landscape of network file systems into a world of flexible scientific workflows and data management. In addition to the integration of large scale object storage concepts, the long term identification of data sets, their owners, and the definition of necessary meta data becomes a challenge. No existing storage solution on the market meets all of the requirements, and thus the bwHPC-S5 project must implement these features. The joint procurement and later operation of the system will deepen the cooperation between the involved computer centers and communities. The transition to this new system will need to be organized together with the scientific communities being shareholders in the storage system. Finally, the created storage infrastructures have to fit well into the growing Research Data Repositories landscape. en
dc.language.iso en de_DE
dc.publisher Universität Tübingen de_DE
dc.publisher Universität Tübingen de_DE
dc.subject.classification Hochleistungsrechnen de_DE
dc.subject.ddc 004 de_DE
dc.subject.other Research Data Management en
dc.subject.other Large Scale Research Infrastructures en
dc.subject.other Storage Governance en
dc.subject.other Long Term Data Publication en
dc.title Storage infrastructures to support advanced scientific workflows. Towards research data management aware storage infrastructures en
dc.type ConferencePaper de_DE
utue.publikation.fachbereich Informatik de_DE
utue.publikation.fakultaet 7 Mathematisch-Naturwissenschaftliche Fakultät de_DE
utue.opus.portal bwhpc5 de_DE

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