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Volumn 8807, Issue , 2014, Pages 111-123

Performance benefits of dataMPI: A case study with bigdatabench

Author keywords

BigDataBench; DataMPI; Hadoop; Spark

Indexed keywords

BENCHMARKING; COMPUTER SOFTWARE; DATA HANDLING; ELECTRIC SPARKS; HARDWARE;

EID: 84945199198     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-319-13021-7_9     Document Type: Conference Paper
Times cited : (13)

References (19)
  • 1
    • 84945222638 scopus 로고    scopus 로고
    • Apache Hadoop Project. http://hadoop.apache.org
  • 2
    • 84945222639 scopus 로고    scopus 로고
    • Apache Mahout Project. https://mahout.apache.org
  • 3
    • 84945222640 scopus 로고    scopus 로고
    • DataMPI Project. http://datampi.org
  • 4
    • 84945222641 scopus 로고    scopus 로고
    • MLlib Project. https://spark.apache.org/mllib
  • 8
    • 34548041192 scopus 로고    scopus 로고
    • Dryad: Distributed dataparallel programs from sequential building blocks
    • Isard, M., Budiu, M., Yu, Y., Birrell, A., Fetterly, D.: Dryad: distributed dataparallel programs from sequential building blocks. ACM SIGOPS Oper. Syst. Rev. 41(3), 59-72 (2007)
    • (2007) ACM SIGOPS Oper. Syst. Rev , vol.41 , Issue.3 , pp. 59-72
    • Isard, M.1    Budiu, M.2    Yu, Y.3    Birrell, A.4    Fetterly, D.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.