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Volumn , Issue , 2011, Pages 618-622

A framework for cloud-based large-scale data analytics and visualization: Case study on multiscale climate data

Author keywords

Climate data analysis; Cloud computing; Multiscale data; Spatio temporal visualization; Workflow scheduling

Indexed keywords

CLIMATE DATA; CLIMATE STUDIES; COMPUTATIONAL RESOURCES; DATA ANALYSTS; DATA ANALYTICS; DATA COMPLEXITY; DATA SETS; DATA STORAGE SYSTEMS; DISTRIBUTED DATA; END USERS; INTERACTIVE VISUALIZATIONS; LARGE DATASETS; MULTISCALES; ON-THE-FLY; PROCESSING TIME; SPATIO-TEMPORAL; SPATIO-TEMPORAL DATA; WORKFLOW SCHEDULING;

EID: 84863166403     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CloudCom.2011.95     Document Type: Conference Paper
Times cited : (30)

References (8)
  • 3
    • 84863158625 scopus 로고    scopus 로고
    • Retrieved 5 May 2011
    • IPCC, Model Summary Data for MPI ECHAM5. Available from: http://www.ipcc-data.org/ar4/model-MPIM-ECHAM5-change.html. Retrieved 5 May 2011.
    • Model Summary Data for MPI ECHAM5
  • 8
    • 84874228004 scopus 로고    scopus 로고
    • Architecting applications for the amazon cloud
    • R. Buyya et al. (eds.). Wiley Press, New York, USA
    • J. Varia. Architecting Applications for the Amazon Cloud, Cloud Computing: Principles and Paradigms, R. Buyya et al. (eds.). Wiley Press, New York, USA, 2010.
    • (2010) Cloud Computing: Principles and Paradigms
    • Varia, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.