The Kepler Science Operations Center pipeline framework extensions
Identifieur interne : 000A49 ( Main/Exploration ); précédent : 000A48; suivant : 000A50The Kepler Science Operations Center pipeline framework extensions
Auteurs : Todd C. Klaus [États-Unis] ; Miles T. Cote [États-Unis] ; Sean Mccauliff [États-Unis] ; Forrest R. Girouard [États-Unis] ; Bill Wohler [États-Unis] ; Christopher Allen [États-Unis] ; Hema Chandrasekaran [États-Unis] ; Stephen T. Bryson [États-Unis] ; Christopher Middour [États-Unis] ; Douglas A. Caldwell [États-Unis] ; Jon M. Jenkins [États-Unis]Source :
- Proceedings of SPIE, the International Society for Optical Engineering [ 0277-786X ] ; 2010.
Descripteurs français
- Pascal (Inist)
- Processeur pipeline, Compression donnée, Monitorage, Traitement donnée, Traitement pipeline, Optimisation programme, Développement logiciel, Calcul réparti, Système réparti, Langage JAVA, Stockage donnée, Débogage, Système sur puce, Archive, Télescope, Partition donnée, Grappe calculateur, Amenage pièce, Alimentation machine, Pipeline de données.
English descriptors
- KwdEn :
- Archive, Calculator cluster, Data compression, Data partition, Data processing, Data storage, Debugging, Distributed computing, Distributed system, Feeder, JAVA language, Machine feed, Monitoring, Pipeline processing, Pipeline processor, Program optimization, Software development, Software pipeline, System on a chip, Telescope.
Abstract
The Kepler Science Operations Center (SOC) is responsible for several aspects of the Kepler Mission, including managing targets, generating onboard data compression tables, monitoring photometer health and status, processing science data, and exporting Kepler Science Processing Pipeline products to the Multi-mission Archive at Space Telescope [Science Institute] (MAST). We describe how the pipeline framework software developed for the Kepler Mission is used to achieve these goals, including development of pipeline configurations for processing science data and performing other support roles, and development of custom unit-of-work generators for controlling how Kepler data are partitioned and distributed across the computing cluster. We describe the interface between the Java software that manages data retrieval and storage for a given unit of work and the MATLAB algorithms that process the data. The data for each unit of work are packaged into a single file that contains everything needed by the science algorithms, allowing the files to be used to debug and evolve the algorithms offline.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000160
- to stream PascalFrancis, to step Curation: 000085
- to stream PascalFrancis, to step Checkpoint: 000055
- to stream Main, to step Merge: 000A54
- to stream Main, to step Curation: 000A49
Le document en format XML
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Archive</term>
<term>Calculator cluster</term>
<term>Data compression</term>
<term>Data partition</term>
<term>Data processing</term>
<term>Data storage</term>
<term>Debugging</term>
<term>Distributed computing</term>
<term>Distributed system</term>
<term>Feeder</term>
<term>JAVA language</term>
<term>Machine feed</term>
<term>Monitoring</term>
<term>Pipeline processing</term>
<term>Pipeline processor</term>
<term>Program optimization</term>
<term>Software development</term>
<term>Software pipeline</term>
<term>System on a chip</term>
<term>Telescope</term>
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<keywords scheme="Pascal" xml:lang="fr"><term>Processeur pipeline</term>
<term>Compression donnée</term>
<term>Monitorage</term>
<term>Traitement donnée</term>
<term>Traitement pipeline</term>
<term>Optimisation programme</term>
<term>Développement logiciel</term>
<term>Calcul réparti</term>
<term>Système réparti</term>
<term>Langage JAVA</term>
<term>Stockage donnée</term>
<term>Débogage</term>
<term>Système sur puce</term>
<term>Archive</term>
<term>Télescope</term>
<term>Partition donnée</term>
<term>Grappe calculateur</term>
<term>Amenage pièce</term>
<term>Alimentation machine</term>
<term>Pipeline de données</term>
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<front><div type="abstract" xml:lang="en">The Kepler Science Operations Center (SOC) is responsible for several aspects of the Kepler Mission, including managing targets, generating onboard data compression tables, monitoring photometer health and status, processing science data, and exporting Kepler Science Processing Pipeline products to the Multi-mission Archive at Space Telescope [Science Institute] (MAST). We describe how the pipeline framework software developed for the Kepler Mission is used to achieve these goals, including development of pipeline configurations for processing science data and performing other support roles, and development of custom unit-of-work generators for controlling how Kepler data are partitioned and distributed across the computing cluster. We describe the interface between the Java software that manages data retrieval and storage for a given unit of work and the MATLAB algorithms that process the data. The data for each unit of work are packaged into a single file that contains everything needed by the science algorithms, allowing the files to be used to debug and evolve the algorithms offline.</div>
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