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J-GLOBAL ID:201502208457771924   Reference number:15A0817033

System Status Aware Hadoop Scheduling Methods for Job Performance Improvement

職務遂行能力を高めるためのシステム状態認識Hadoopスケジューリング方式
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Volume: E98.D  Issue:Page: 1275-1285 (J-STAGE)  Publication year: 2015 
JST Material Number: U0469A  ISSN: 1745-1361  Document type: Article
Article type: 原著論文  Country of issue: Japan (JPN)  Language: ENGLISH (EN)
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Operating systems  ,  Computer system development 
Reference (17):
  • [1] J. Dean and S. Ghemawat, “MapReduce: Simplified data processing on large clusters,” In OSDI, vol.51, no.1, pp.107-113, San Francisco, USA, Jan. 2008.
  • [2] The Apache Software Foundation, “Apache Hadoop,” http://hadoop.apache.org
  • [3] S. Kandula, S. Sengupta, A. Greenberg, P. Patel, and R. Chaiken, “The Nature of Datacenter Traffic: Measurements & Analysis,” Proc. ACM SIGCOMM conf. on Internet measurement conference, pp.202-208, Chicago, USA, Nov. 2009.
  • [4] M. Chowdhury, M. Zaharia, J. Ma, M.I. Jordan, and I. Stoika, “Managing data transfers in computer clusters with orchestra,” Proc. ACM SIGCOMM conf., vol.41, no.4, pp.98-109, Toronto, Canada, Aug. 2011.
  • [5] M. Zaharia, D. Borthakur, J.S. Sarma, K. Elmeleegy, S. Shenker, and I. Stoica, “Delay scheduling: A simple technique for achieving locality and fairness in cluster scheduling,” EuroSys conf., pp.265-278, Paris, France, April 2010.
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