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| Hauptseite > Publikationsdatenbank > UniProv - Provenance Management for UNICORE Workflows in HPC Environments > print |
| Hauptseite > Publikationsdatenbank > UniProv - Provenance Management for UNICORE Workflows in HPC Environments > print |
| 001 | 859352 | ||
| 005 | 20230712161731.0 | ||
| 020 | _ | _ | |a 978-3-319-98378-3 (print) |
| 020 | _ | _ | |a 978-3-319-98379-0 (electronic) |
| 024 | 7 | _ | |2 doi |a 10.1007/978-3-319-98379-0_16 |
| 024 | 7 | _ | |2 ISSN |a 0302-9743 |
| 024 | 7 | _ | |2 ISSN |a 1611-3349 |
| 024 | 7 | _ | |2 Handle |a 2128/21168 |
| 024 | 7 | _ | |2 WOS |a WOS:000477747000016 |
| 037 | _ | _ | |a FZJ-2019-00220 |
| 100 | 1 | _ | |0 P:(DE-Juel1)132116 |a Giesler, André |b 0 |e Corresponding author |
| 111 | 2 | _ | |a 7th International Provenance and Annotation Workshop |c London |d 2018-07-09 - 2018-07-13 |g IPAW 2018 |w UK |
| 245 | _ | _ | |a UniProv - Provenance Management for UNICORE Workflows in HPC Environments |
| 260 | _ | _ | |a Cham |b Springer International Publishing |c 2018 |
| 295 | 1 | 0 | |a Provenance and Annotation of Data and Processes / Belhajjame, Khalid (Editor) [0000-0001-6938-0820] ; Cham : Springer International Publishing, 2018, Chapter 16 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-98378-3=978-3-319-98379-0 ; doi:10.1007/978-3-319-98379-0 |
| 300 | _ | _ | |a 188 - 191 |
| 336 | 7 | _ | |2 ORCID |a CONFERENCE_PAPER |
| 336 | 7 | _ | |0 33 |2 EndNote |a Conference Paper |
| 336 | 7 | _ | |2 BibTeX |a INPROCEEDINGS |
| 336 | 7 | _ | |2 DRIVER |a conferenceObject |
| 336 | 7 | _ | |2 DataCite |a Output Types/Conference Paper |
| 336 | 7 | _ | |0 PUB:(DE-HGF)8 |2 PUB:(DE-HGF) |a Contribution to a conference proceedings |b contrib |m contrib |s 1547535008_23129 |
| 336 | 7 | _ | |0 PUB:(DE-HGF)7 |2 PUB:(DE-HGF) |a Contribution to a book |m contb |
| 490 | 0 | _ | |a Lecture Notes in Computer Science |v 11017 |
| 520 | _ | _ | |a The goal of comprehensive provenance tracking in the scientific environment should be the inclusion of the entire life cycle of data management. Thus, the data collection process begins with the registration of lab-generated or sensor-generated data, continues to organize and manage data in the storage repositories, processing analysis and simulation data on clusters and HPC systems, and finally referencing and verifying computational results in scientific publications. In the associated provenance tracking life cycle, UniProv initially concentrates on the processing and simulation of data in scientific workflows used in particular on supercomputers in the HPC environment. In this context, UniProv aims to create the core of a provenance management framework that can be extended in order to integrate different sources of the scientific provenance cycle. Here UniProv should facilitate the creation, the standardized formalization, the storage and the retrieval of Provenance Information. |
| 536 | _ | _ | |0 G:(DE-HGF)POF3-512 |a 512 - Data-Intensive Science and Federated Computing (POF3-512) |c POF3-512 |f POF III |x 0 |
| 588 | _ | _ | |a Dataset connected to CrossRef Book Series |
| 700 | 1 | _ | |0 P:(DE-Juel1)165674 |a Czekala, Myriam |b 1 |
| 700 | 1 | _ | |0 P:(DE-Juel1)132123 |a Hagemeier, Björn |b 2 |
| 773 | _ | _ | |a 10.1007/978-3-319-98379-0_16 |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/859352/files/poster_text.pdf |y OpenAccess |
| 856 | 4 | _ | |u https://juser.fz-juelich.de/record/859352/files/poster_text.pdf?subformat=pdfa |x pdfa |y OpenAccess |
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| 914 | 1 | _ | |y 2018 |
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