This title appears in the Scientific Report :
2018
Please use the identifier:
http://dx.doi.org/10.1007/978-3-319-98379-0_16 in citations.
Please use the identifier: http://hdl.handle.net/2128/21168 in citations.
UniProv - Provenance Management for UNICORE Workflows in HPC Environments
UniProv - Provenance Management for UNICORE Workflows in HPC Environments
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 stor...
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Personal Name(s): | Giesler, André (Corresponding author) |
---|---|
Czekala, Myriam / Hagemeier, Björn | |
Contributing Institute: |
Jülich Supercomputing Center; JSC |
Published in: |
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 |
Imprint: |
Cham
Springer International Publishing
2018
|
Physical Description: |
188 - 191 |
ISBN: |
978-3-319-98379-0 (electronic) 978-3-319-98378-3 (print) |
DOI: |
10.1007/978-3-319-98379-0_16 |
Conference: | 7th International Provenance and Annotation Workshop, London (UK), 2018-07-09 - 2018-07-13 |
Document Type: |
Contribution to a book Contribution to a conference proceedings |
Research Program: |
Data-Intensive Science and Federated Computing |
Series Title: |
Lecture Notes in Computer Science
11017 |
Link: |
OpenAccess OpenAccess |
Publikationsportal JuSER |
Please use the identifier: http://hdl.handle.net/2128/21168 in citations.
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. |