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Volumn , Issue , 2010, Pages 19-26

Using cloud technologies to optimize data-intensive service applications

Author keywords

Data cloud; Data intensive; Service applications

Indexed keywords

APPLICATION DOMAINS; DATA ANALYTICS; DATA CLOUDS; DATA EXCHANGE; DATA FLOW; DATA SETS; DATA-INTENSIVE; DATA-INTENSIVE SERVICES; EFFICIENT PROCESS; SERVICE APPLICATIONS; SERVICE-ORIENTED ENVIRONMENT;

EID: 77957944972     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CLOUD.2010.56     Document Type: Conference Paper
Times cited : (10)

References (15)
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    • Habich, D.1    Richly, S.2    Grasselt, M.3    Preißler, S.4    Lehner, W.5    Maier, A.6
  • 8
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    • Simitsis, A.1
  • 10
    • 79957809015 scopus 로고    scopus 로고
    • Hadoopdb: An architectural hybrid of mapreduce and dbms technologies for analytical workloads
    • A. Abouzeid, K. Bajda-Pawlikowski, D. J. Abadi, A. Rasin, and A. Silberschatz, "Hadoopdb: An architectural hybrid of mapreduce and dbms technologies for analytical workloads," PVLDB, vol. 2, no. 1, pp. 922-933, 2009.
    • (2009) PVLDB , vol.2 , Issue.1 , pp. 922-933
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  • 11
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    • Twophase clustering strategy for gene expression data sets
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    • Towards bpel in the cloud: Exploiting different delivery models for the execution of business processes
    • T. Anstett, F. Leymann, R. Mietzner, and S. Strauch, "Towards bpel in the cloud: Exploiting different delivery models for the execution of business processes," in Proc. of IWCS, 2009, pp. 670-677.
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    • Anstett, T.1    Leymann, F.2    Mietzner, R.3    Strauch, S.4
  • 14
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    • Mapreduce: Simplified data processing on large clusters
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    • Dean, J.1    Ghemawat, S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.