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Volumn , Issue , 2010, Pages 84-93

A Map-reduce system with an Alternate API for multi-core environments

Author keywords

Data intensive computing; Map reduce; Middleware; Multi core architectures

Indexed keywords

DATA MINING APPLICATIONS; DATA-INTENSIVE APPLICATION; DATA-INTENSIVE COMPUTING; EFFICIENT IMPLEMENTATION; GENERALIZED REDUCTION; HIGH PRODUCTIVITY; LARGE-SCALE CLUSTERS; LOWER MEMORY REQUIREMENT; MULTI CORE; MULTI-CORE SYSTEMS; MULTICORE ARCHITECTURES; RUNTIMES; SCALABLE IMPLEMENTATION; STANFORD;

EID: 77954894186     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGRID.2010.10     Document Type: Conference Paper
Times cited : (90)

References (21)
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    • Jin, R.1    Agrawal, G.2
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    • Improving mapreduce performance in heterogeneous environments
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    • Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy H. Katz, and Ion Stoica. Improving mapreduce performance in heterogeneous environments. In Proceedings of OSDI, pages 29-42. USENIX Association, 2008.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.