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Volumn , Issue , 2011, Pages 470-475

A large-scale rendering system based on hadoop

Author keywords

[No Author keywords available]

Indexed keywords

3-D RENDERING; DATA INTENSIVE; DATA SERVER; EXECUTION TIME; HARDWARE AND SOFTWARE; I/O PERFORMANCE; LARGE SCALE DATA; LARGE-SCALE RENDERING; MAP-REDUCE; OPEN SOURCE IMPLEMENTATION; PROGRAMMING MODELS; RENDERING NODES;

EID: 84862941711     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPCA.2011.6106549     Document Type: Conference Paper
Times cited : (9)

References (9)
  • 2
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplied data processing on large clusters
    • January
    • Jeffrey Dean and Sanjay Ghemawat, "MapReduce: Simplied Data Processing on Large Clusters, Communications of the ACM, Volume 51 Issue 1, January 2008, pp.107-113.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, J.1    Ghemawat, S.2
  • 6
    • 84862921486 scopus 로고    scopus 로고
    • http://www.lustre.org/.
  • 8
    • 84862947964 scopus 로고    scopus 로고
    • http://www.enfuzion3d.com/.
  • 9
    • 85076883048 scopus 로고    scopus 로고
    • Improving MapReduce performance in heterogeneous environments
    • Matei Zaharia, Andy Konwinski, Anthony D. Joseph, Randy Katz and Ion Stoica, "Improving MapReduce Performance in Heterogeneous Environments," OSDI'08, pp. 29-42.
    • OSDI'08 , pp. 29-42
    • Zaharia, M.1    Konwinski, A.2    Joseph, A.D.3    Katz, R.4    Stoica, I.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.