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Provenance capture and use in a satellite data processing pipeline / Scott Jensen in IEEE Transactions on geoscience and remote sensing, vol 51 n° 11 (November 2013)  

Public [article]  inIEEE Transactions on geoscience and remote sensing > vol 51 n° 11 (November 2013) . - pp 5090 - 5097 Titre : Provenance capture and use in a satellite data processing pipeline Type de document : Article/Communication Auteurs : Scott Jensen, Auteur ; Beth Plale, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 5090 - 5097 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image radar et applications [Termes IGN] acquisition d'images [Termes IGN] acquisition de données [Termes IGN] architecture pipeline (processeur) [Termes IGN] image Aqua-AMSR [Termes IGN] source de données [Termes IGN] télédétection en hyperfréquence Résumé : (Auteur) With the interdependencies that exist between data in a scientific processing pipeline, the ability to track the provenance of the scientific process through multiple stages is necessary to determining the usability of the resulting data product. In this paper, we study the capture of provenance from an existing NASA instrument ingest pipeline. Since instrumenting the scientific code for a production system is not feasible, we show how provenance events can be scavenged from log files to generate detailed provenance graphs. Through extensions to the Karma provenance system, which have been implemented on a test instance of the AMSR-E production data pipeline, we determine that when the volume of provenance information is high, provenance graph visualizations provide a good tool for monitoring the ingest pipeline and identifying processing differences in ways not seen before. Two novel uses of provenance that we present in this paper are comparisons between processing runs and forward provenance for viewing downstream dependencies. Numéro de notice : A2013-611 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1109/TGRS.2013.2266929 En ligne : https://doi.org/10.1109/TGRS.2013.2266929 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32747 [article]

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