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Volumn 19, Issue 2-3, 2011, Pages 121-132

Early observations on the performance of Windows Azure

Author keywords

Cloud computing; eScience; performance; Windows Azure

Indexed keywords

CLOUD COMPUTING; COMPUTER SYSTEMS; RELIABILITY ANALYSIS;

EID: 79960796509     PISSN: 10589244     EISSN: None     Source Type: Journal    
DOI: 10.3233/SPR-2011-0323     Document Type: Article
Times cited : (9)

References (23)
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  • 7
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    • Cloud computing for parallel scientific hpc applications: Feasibility of running coupled atmosphere-ocean climate models on Amazon's EC2
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    • Evangelinos, C.1    Hill, C.N.2
  • 9
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    • S.L. Garfinkel, An evaluation of Amazon's grid computing services: EC2, S3 and SQS, Technical report, Center for Research on Computation and Society School for Engineering and Applied Sciences, Harvard University, 2007.
    • (2007) An Evaluation of Amazon's Grid Computing Services: EC2, S3 and SQS
    • Garfinkel, S.L.1
  • 10
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    • Google, Google App Engine, available at: Http://code.google. com/appengine/.
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    • The moderate resolution imaging spectroradiometer (MODIS): Land remote sensing for global change research
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    • Justice, C.1
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    • Fault tolerance and scaling in e-Science cloud applications: Observations from the continuing development of MODISAzure
    • Brisbane, Australia, December 7-10
    • J. Li, M. Humphrey, Y.-W. Cheah, Y. Ryu, D. Agarwal, K. Jackson and C. van Ingen, Fault tolerance and scaling in e-Science cloud applications: Observations from the continuing development of MODISAzure, in: IEEE e-Science 2010 Conference, Brisbane, Australia, December 7-10, 2010.
    • (2010) IEEE e-Science 2010 Conference
    • Li, J.1    Humphrey, M.2    Y.-W. Cheah3    Ryu, Y.4    Agarwal, D.5    Jackson, K.6    Van Ingen, C.7
  • 18
    • 85021226363 scopus 로고    scopus 로고
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.