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Volumn 7753 LNCS, Issue , 2013, Pages 115-125

Improving mapreduce performance through complexity and performance based data placement in heterogeneous hadoop clusters

Author keywords

Data processing; Hadoop; Heterogeneous cluster; MapReduce

Indexed keywords

CLUSTER COMPUTING; DATA PROCESSING; OPEN SOURCE SOFTWARE; OPEN SYSTEMS;

EID: 84872780523     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-36071-8_8     Document Type: Conference Paper
Times cited : (18)

References (11)
  • 2
    • 77954942463 scopus 로고    scopus 로고
    • Towards automatic optimization of MapReduce programs
    • Babu, S.: Towards automatic optimization of MapReduce programs. In: Proc. SoCC, pp. 137-142 (2010)
    • (2010) Proc. SoCC , pp. 137-142
    • Babu, S.1
  • 7
    • 84872782335 scopus 로고    scopus 로고
    • Hadoop, http://hadoop.apache.org/
  • 8
    • 84872818327 scopus 로고    scopus 로고
    • Hadoop Single Node Setup, http://hadoop.apache.org/common/docs/r1.0.1/ single-node-setup.html
    • Hadoop Single Node Setup
  • 9
    • 84872769431 scopus 로고    scopus 로고
    • Hadoop Cluster Setup, http://hadoop.apache.org/common/docs/r1.0.1/ cluster-setup.html
    • Hadoop Cluster Setup
  • 11
    • 84872796509 scopus 로고    scopus 로고
    • Amazon AWS, https://console.aws.amazon.com/console/home


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.