메뉴 건너뛰기




Volumn , Issue , 2012, Pages

Using R for iterative and incremental processing

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD COMPUTING; MACHINE LEARNING;

EID: 85088775823     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (15)

References (17)
  • 5
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. MapReduce: Simplified data processing on large clusters. Commun. ACM, 51(1), 2008.
    • (2008) Commun. ACM , vol.51 , Issue.1
    • Dean, J.1    Ghemawat, S.2
  • 6
    • 34548041192 scopus 로고    scopus 로고
    • Dryad: Distributed data-parallel programs from sequential building blocks
    • M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly. Dryad: Distributed data-parallel programs from sequential building blocks. In EuroSys'07, pages 59-72, 2007.
    • (2007) EuroSys'07 , pp. 59-72
    • Isard, M.1    Budiu, M.2    Yu, Y.3    Birrell, A.4    Fetterly, D.5
  • 7
    • 79957962519 scopus 로고    scopus 로고
    • Spectral analysis for billion-scale graphs: Discoveries and implementation
    • U. Kang, B. Meeder, and C. Faloutsos. Spectral Analysis for Billion-Scale Graphs: Discoveries and Implementation. In PAKDD (2), pages 13-25, 2011.
    • (2011) PAKDD , Issue.2 , pp. 13-25
    • Kang, U.1    Meeder, B.2    Faloutsos, C.3
  • 8
    • 85080504040 scopus 로고    scopus 로고
    • Algorithms: Recent highlights and challenges
    • San Jose, USA, ACM
    • R. Kannan. Algorithms: Recent highlights and challenges. In Proc. of ISCA'11, San Jose, USA, 2011. ACM.
    • (2011) Proc. Of ISCA'11
    • Kannan, R.1
  • 11
    • 84862779280 scopus 로고    scopus 로고
    • CIEL: A universal execution engine for distributed data-flow computing
    • Boston, MA, USA
    • D. G. Murray and S. Hand. CIEL: A universal execution engine for distributed data-flow computing. In NSDI'11, Boston, MA, USA, 2011.
    • (2011) NSDI'11
    • Murray, D.G.1    Hand, S.2
  • 12
    • 80052184829 scopus 로고    scopus 로고
    • Large-scale incremental processing using distributed transactions and notifications
    • Vancouver, BC, Canada
    • D. Peng and F. Dabek. Large-scale incremental processing using distributed transactions and notifications. In OSDI'10, Vancouver, BC, Canada, 2010.
    • (2010) OSDI'10
    • Peng, D.1    Dabek, F.2
  • 13
    • 85047363692 scopus 로고    scopus 로고
    • Dryadinc: Reusing work in large-scale computations
    • San Diego, California
    • L. Popa, M. Budiu, Y. Yu, and M. Isard. DryadInc: Reusing work in large-scale computations. In HotCloud'09, San Diego, California, 2009.
    • (2009) HotCloud'09
    • Popa, L.1    Budiu, M.2    Yu, Y.3    Isard, M.4
  • 14
    • 84862798988 scopus 로고    scopus 로고
    • Piccolo: Building fast, distributed programs with partitioned tables
    • Vancouver, BC, Canada, USENIX Association
    • R. Power and J. Li. Piccolo: Building fast, distributed programs with partitioned tables. In OSDI'10, Vancouver, BC, Canada, 2010. USENIX Association.
    • (2010) OSDI'10
    • Power, R.1    Li, J.2
  • 17
    • 48249089255 scopus 로고    scopus 로고
    • Large-scale parallel collaborative filtering for the Netflix prize
    • Shanghai, China
    • Y. Zhou, D. Wilkinson, R. Schreiber, and R. Pan. Large-Scale Parallel Collaborative Filtering for the Netflix Prize. In AAIM'08, pages 337-348, Shanghai, China, 2008.
    • (2008) AAIM'08 , pp. 337-348
    • Zhou, Y.1    Wilkinson, D.2    Schreiber, R.3    Pan, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.