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Volumn , Issue , 2013, Pages 637-644

H-MapReduce: A framework for workload balancing in MapReduce

Author keywords

Hierarchical MapReduce; MapReduce; Workload balancing

Indexed keywords

DATA INTENSIVE; DISTRIBUTED SYSTEMS; MAP-REDUCE; MAPREDUCE FRAMEWORKS; MASSIVE DATA; PERFORMANCE GAIN; PROGRAMMING MODELS; WORKLOAD BALANCING;

EID: 84881040226     PISSN: 1550445X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/AINA.2013.48     Document Type: Conference Paper
Times cited : (29)

References (15)
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  • 2
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    • MapReduce : Simplified data processing on large clusters
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    • Dean, Jeffrey, and Sanjay Ghemawat. MapReduce : Simplified Data Processing on Large Clusters. Ed. L Purich Daniel. Communications of the ACM 51.1 (2008) : 1-13.
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    • Dean, J.1    Ghemawat, S.2
  • 9
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    • ImapReduce: A distributed computing framework for iterative computation
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    • Zhang, Y.1    Gao, Q.2    Gao, L.3    Wang, C.4
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    • Skewtune: Mitigating skew in mapreduce applications
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    • Yong Chul Kwon, Magdalena Balazinska, Bill Howe, and Jerome Rolia. 2012. SkewTune: mitigating skew in mapreduce applications. In Proceedings of the 2012 ACM SIGMOD, ACM, New York, NY, USA, pp. 25-36.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.