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J-GLOBAL ID：201702266840393667
Reference number：17A0901596
Hadoop/Sparkにおける第2階層スケジューラ導入によるタスク進捗度平準化の検討
Author (2)：
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Material：
Volume：
2017
Issue：
OS-141
Page：
Vol.2017-OS-141,No.17,1-7 (WEB ONLY)
Publication year：
Jul. 19, 2017
JST Material Number：
U0451A
Document type：
Proceedings
Article type：
原著論文
Country of issue：
Japan (JPN)
Language：
JAPANESE (JA)
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Semi thesaurus term：
Thesaurus term/Semi thesaurus term
Keywords indexed to the article.
All keywords is available on JDreamIII(charged).
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JST classification (2)：
JST classification
Category name(code) classified by JST.
Digital computer systems in general
, Computer networks
Reference (20)：
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The Apache Software Foundation: Apache Hadoop, http://hadoop.apache.org/.
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The Apache Software Foundation: Apache Spark: Lightling-fast Cluster Computing, http://spark.apache.org/.
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Dean, J. and Ghemawat, S.: MapReduce: Simplified Data Processing on Large Clusters, USENIX OSDI’04, Berkeley, CA, USA, pp. 10-10 (2004).
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X. Meng et al.: MLlib: Machine Learning in Apache Spark, Journal of Machine Learning Research, Vol. 17, No. 1, pp. 1235-1241 (2016).
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S. Venkataraman et al.: Ernest: Efficient Performance Prediction for Large-Scale Advanced Analytics, USENIX NSDI’16 (2016).
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