메뉴 건너뛰기




Volumn 10, Issue 4, 2013, Pages 1263-1266

The performance of MapReduce over the varying nature of data

Author keywords

Big data; Hadoop; Mapreduce performance

Indexed keywords


EID: 84887545549     PISSN: 10978135     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (1)

References (7)
  • 1
    • 84861159329 scopus 로고    scopus 로고
    • Considerations for big data: Architecture and approach
    • 2012 IEEE
    • Bakshi, K. (2012). Considerations for big data: Architecture and approach. Aerospace Conference, 2012 IEEE.
    • (2012) Aerospace Conference
    • Bakshi, K.1
  • 2
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clu1sters
    • Dean, J. and S. Ghemawat (2008). MapReduce: simplified data processing on large clu1sters. Communications of the ACM 51(1): 107-113.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 5
    • 84861188723 scopus 로고    scopus 로고
    • Entertainment in the Age of Big Data
    • (Special Centennial Issue)
    • Schlieski, T. and B. D. Johnson (2012). Entertainment in the Age of Big Data. Proceedings of the IEEE 100 (Special Centennial Issue): 1404-1408.
    • (2012) Proceedings of the IEEE , vol.100 , pp. 1404-1408
    • Schlieski, T.1    Johnson, B.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.