INTEGRATING EXECUTION OF COMPUTING ANALYTICS WITHIN A MAPREDUCE PROCESSING ENVIRONMENT

Embodiments of the disclosure can include MapReduce systems and methods with integral mapper and reducer compute runtime environments. An example system with an integral reducer compute runtime environment can include mappers (225) and reducers (250) executable on a computer cluster (215). The mappe...

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Main Authors OSBORN, MARK DAVID, INTERRANTE, JOHN A, POOL, ERIC, PUIG, ERNEST CHARLES
Format Patent
LanguageEnglish
French
German
Published 02.03.2016
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Abstract Embodiments of the disclosure can include MapReduce systems and methods with integral mapper and reducer compute runtime environments. An example system with an integral reducer compute runtime environment can include mappers (225) and reducers (250) executable on a computer cluster (215). The mappers can be operable to receive raw input data (245) and generate first input data based on the raw input data (245). The mappers (225) can be operable to generate first result data based on the first input data. Based on the first result data, the mappers (225) can be operable to generate (K, V) pairs (275). The reducers (250) can be operable to receive the (K, V) pairs (275) and generate second input data based on the (K, V) pairs (275). The reducers (250) can be operable to transmit the second input data to integral compute runtime environment being run within the reducers (250) and operable to generate second result data based on the second input data. Based on the second result data, the reducers (250) can be operable to generate output data.
AbstractList Embodiments of the disclosure can include MapReduce systems and methods with integral mapper and reducer compute runtime environments. An example system with an integral reducer compute runtime environment can include mappers (225) and reducers (250) executable on a computer cluster (215). The mappers can be operable to receive raw input data (245) and generate first input data based on the raw input data (245). The mappers (225) can be operable to generate first result data based on the first input data. Based on the first result data, the mappers (225) can be operable to generate (K, V) pairs (275). The reducers (250) can be operable to receive the (K, V) pairs (275) and generate second input data based on the (K, V) pairs (275). The reducers (250) can be operable to transmit the second input data to integral compute runtime environment being run within the reducers (250) and operable to generate second result data based on the second input data. Based on the second result data, the reducers (250) can be operable to generate output data.
Author PUIG, ERNEST CHARLES
OSBORN, MARK DAVID
POOL, ERIC
INTERRANTE, JOHN A
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DocumentTitleAlternate INTEGRATION DER AUSFÜHRUNG VON COMPUTERANALYTIK IN EINER BERECHNUNG ANALYTIK IN EINER MAPREDUCE-VERARBEITUNGSUMGEBUNG
INTÉGRATION D'EXÉCUTION DE CALCUL ANALYTIQUE DANS UN ENVIRONNEMENT DE TRAITEMENT MAPREDUCE
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Snippet Embodiments of the disclosure can include MapReduce systems and methods with integral mapper and reducer compute runtime environments. An example system with...
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SubjectTerms CALCULATING
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
Title INTEGRATING EXECUTION OF COMPUTING ANALYTICS WITHIN A MAPREDUCE PROCESSING ENVIRONMENT
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