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Volumn , Issue , 2014, Pages 100-109

PigOut: Making multiple Hadoop clusters work together

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; DATA HANDLING; QUERY LANGUAGES;

EID: 84921806676     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BigData.2014.7004218     Document Type: Conference Paper
Times cited : (1)

References (18)
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    • Apache, "Apache Pig: high-level dataflow system for Hadoop," http: //pig.apache.org, accessed May 27, 2014.
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    • Interactive analytical processing in big data systems: A cross-industry study of mapreduce workloads
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    • (2012) Proc. VLDB Endow , vol.5 , Issue.12 , pp. 1802-1813
    • Chen, Y.1    Alspaugh, S.2    Katz, R.3
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    • Sheth, A.P.1    Larson, J.A.2
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    • Kepler + hadoop: A general architecture facilitating data-intensive applications in scientific workflow systems
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    • J. Wang, D. Crawl, and I. Altintas, "Kepler + hadoop: A general architecture facilitating data-intensive applications in scientific workflow systems," in WORKS. New York, NY, USA: ACM, 2009. [Online]. Available: http: //doi.acm.org/10.1145/1645164.1645176
    • (2009) WORKS
    • Wang, J.1    Crawl, D.2    Altintas, I.3
  • 15
    • 84867880774 scopus 로고    scopus 로고
    • Networkaware scheduling of mapreduce framework on distributed clusters over high speed networks
    • and the 8th Open Cirrus Summit, ser. FederatedClouds '12. New York, NY, USA: ACM
    • P. Kondikoppa, C.-H. Chiu, C. Cui, L. Xue, and S.-J. Park, "Networkaware scheduling of mapreduce framework on distributed clusters over high speed networks," in Proceedings of the 2012 Workshop on Cloud Services, Federation, and the 8th Open Cirrus Summit, ser. FederatedClouds '12. New York, NY, USA: ACM, 2012, pp. 39-44. [Online]. Available: http: //doi.acm.org/10.1145/2378975.2378985
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.