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Volumn 58, Issue , 2016, Pages 42-55

Optimization of virtual resource management for cloud applications to cope with traffic burst

Author keywords

Cloud computing; Traffic burst; Virtual resource management; Workload prediction

Indexed keywords

CLOUD COMPUTING; COST EFFECTIVENESS; FORECASTING; NATURAL RESOURCES MANAGEMENT; WEBSITES;

EID: 84955592716     PISSN: 0167739X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.future.2015.12.011     Document Type: Article
Times cited : (25)

References (27)
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    • Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility
    • R. Buyya, C.S. Yeo, S. Venugopal, J. Broberg, and I. Brandic Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility Future Gener. Comput. Syst. 25 6 2009 599 616
    • (2009) Future Gener. Comput. Syst. , vol.25 , Issue.6 , pp. 599-616
    • Buyya, R.1    Yeo, C.S.2    Venugopal, S.3    Broberg, J.4    Brandic, I.5
  • 10
    • 0033690948 scopus 로고    scopus 로고
    • A workload characterization study of the 1998 world cup web site
    • M. Arlitt, and T. Jin A workload characterization study of the 1998 world cup web site IEEE Netw. 14 3 2000 30 37
    • (2000) IEEE Netw. , vol.14 , Issue.3 , pp. 30-37
    • Arlitt, M.1    Jin, T.2
  • 11
    • 0034140815 scopus 로고    scopus 로고
    • Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques
    • A. Sfetsos, and A. Coonick Univariate and multivariate forecasting of hourly solar radiation with artificial intelligence techniques Sol. Energy 68 2 2000 169 178
    • (2000) Sol. Energy , vol.68 , Issue.2 , pp. 169-178
    • Sfetsos, A.1    Coonick, A.2
  • 14
    • 0002587798 scopus 로고
    • The gompertz curve as a growth curve
    • C.P. Winsor The gompertz curve as a growth curve Proc. Natl. Acad. Sci. USA 18 1 1932 1
    • (1932) Proc. Natl. Acad. Sci. USA , vol.18 , Issue.1 , pp. 1
    • Winsor, C.P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.