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Volumn , Issue , 2012, Pages 13-24

Advanced partitioning techniques for massively distributed computation

Author keywords

distributed computation; partitioning; query optimization; scope

Indexed keywords

CONCEPTUAL DATA MODELS; CRITICAL BUSINESS; DISTRIBUTED COMPUTATIONS; DISTRIBUTED DATA; EXECUTION STRATEGIES; HIGHER-LEVEL PROGRAMMING LANGUAGES; LARGE CLUSTERS; MACHINE PROGRAMMING; MAP-REDUCE; MICROSOFT; PARTITIONING; PARTITIONING STRATEGIES; PARTITIONING TECHNIQUES; PERFORMANCE BOTTLENECKS; QUERY OPTIMIZATION; SCOPE;

EID: 84862647304     PISSN: 07308078     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2213836.2213839     Document Type: Conference Paper
Times cited : (41)

References (24)
  • 1
    • 84862693853 scopus 로고    scopus 로고
    • Apache. Hadoop. http://hadoop.apache.org/.
    • Hadoop
  • 6
    • 0026870271 scopus 로고
    • Parallel database systems: The future of high performance database processing
    • D. DeWitt and J. Gray. Parallel database systems: The future of high performance database processing. Communications of the ACM, 36(6), 1992.
    • (1992) Communications of the ACM , vol.36 , Issue.6
    • DeWitt, D.1    Gray, J.2
  • 8
    • 0025444574 scopus 로고    scopus 로고
    • Encapsulation of parallelism in the Volcano query processing system
    • G. Graefe. Encapsulation of parallelism in the Volcano query processing system. In Proceeding of SIGMOD Conference, 1990.
    • Proceeding of SIGMOD Conference, 1990
    • Graefe, G.1
  • 9
    • 0001890225 scopus 로고
    • The Cascades framework for query optimization
    • G. Graefe. The Cascades framework for query optimization. Data Engineering Bulletin, 18(3), 1995.
    • (1995) Data Engineering Bulletin , vol.18 , Issue.3
    • Graefe, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.