Contribution to a conference proceedings/Contribution to a book FZJ-2017-01986

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UniProv: A flexible Provenance Tracking System for UNICORE

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2017
Springer International Publishing Cham
ISBN: 978-3-319-53861-7, 978-3-319-53862-4 (electronic)

High-Performance Scientific Computing / Di Napoli, Edoardo (Editor) ; Cham : Springer International Publishing, 2017, Chapter 20 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-53861-7=978-3-319-53862-4 ; doi:10.1007/978-3-319-53862-4
JARA-HPC Symposium, Aachen, Germany, 4 Oct 2016 - 5 Oct 2016, AachenAachen, Germany, 4 Oct 2016 - 5 Oct 20162016-10-042016-10-05
Cham : Springer International Publishing, Lecture Notes in Computer Science 10164, 233-242 () [10.1007/978-3-319-53862-4_20]

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Abstract: In this paper we present a flexible provenance managment system called UniProv. UniProv is an ongoing development project providing provenance tracking in scientific workflows and data management particularly in the field of neuroscience, thus allowing users to validateand reproduce tasks and results of their experiments. The primary goal is to equip the commonly used Grid middleware UNICORE and its incorporated workflow engine with the provenance capturing mechanism of UniProv. We also explain an approach for using predefined patterns to ensure compatibility with the W3C PROV Data Model and to map the provenance information properly to a neo4j graph database.

Classification:

Contributing Institute(s):
  1. Jülich Supercomputing Center (JSC)
Research Program(s):
  1. 512 - Data-Intensive Science and Federated Computing (POF3-512) (POF3-512)

Appears in the scientific report 2017
Database coverage:
NationallizenzNationallizenz ; SCOPUS
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Document types > Events > Contributions to a conference proceedings
Document types > Books > Contribution to a book
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 Record created 2017-03-03, last modified 2021-01-29



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