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Volumn 30, Issue 4, 2010, Pages 55-64

Transformer: A new paradigm for building data-parallel programming models

Author keywords

actor model; all Pairs; cloud computing; data flow; data intensive computing; mapReduce; programming model

Indexed keywords

ACTOR MODEL; ALL-PAIRS; CLOUD COMPUTING; DATA FLOW; DATA-INTENSIVE COMPUTING; MAP-REDUCE; PROGRAMMING MODELS;

EID: 77956067483     PISSN: 02721732     EISSN: None     Source Type: Journal    
DOI: 10.1109/MM.2010.75     Document Type: Article
Times cited : (22)

References (14)
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  • 7
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  • 8
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    • Hive-Warehousing solution over a map-reduce framework
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    • A. Thusoo et al., "Hive-Warehousing Solution over a Map-Reduce Framework," Proc. Int'l Conf. Very Large Data Bases (VLDB), vol.2, no.2, VLDB Endowment, 2009, pp. 1626-1629.
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  • 9
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    • Scope: Easy and efficient parallel processing of massive datasets
    • VLDB Endowment
    • R. Chaiken et al., "Scope: Easy and Efficient Parallel Processing of Massive Datasets," Proc. Int'l Conf. Very Large Data Bases (VLDB), vol.1, no.2, VLDB Endowment, 2008, pp. 1265-1276.
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  • 10
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    • Dryad LINQ: A systemforgeneral- purpose distributed data-parallel computing using a high-level language
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    • Y. Yu et al., "DryadLINQ: A SystemforGeneral- Purpose Distributed Data-Parallel Computing Using a High-Level Language," Proc. 8th Symp. Operating Systems Design and Implementation, Usenix Assoc. Press, 2008, pp. 1-14.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.