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Volumn , Issue , 2011, Pages 38-43

Software rejuvenation in eucalyptus cloud computing infrastructure: A method based on time series forecasting and multiple thresholds

Author keywords

cloud computing; dependability analysis; Software aging and rejuvenation; time series

Indexed keywords

COMPUTATIONAL RESOURCES; COMPUTING FRAMEWORKS; COMPUTING INFRASTRUCTURES; COMPUTING SYSTEM; DEPENDABILITY ANALYSIS; GROWING DEMAND; MODERN APPLICATIONS; MULTIPLE THRESHOLD; PROGRAMMING SYSTEM; RELIABILITY AND AVAILABILITY; RESOURCE MANAGEMENT; SOFTWARE AGING; SOFTWARE REJUVENATION; TIME SERIES FORECASTING;

EID: 84857172084     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WoSAR.2011.18     Document Type: Conference Paper
Times cited : (37)

References (23)
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    • 27844593365 scopus 로고    scopus 로고
    • A workload-based analysis of software aging, and rejuvenation
    • DOI 10.1109/TR.2005.853442
    • Y. Bao, X. Sun, and K. S. Trivedi, "A workload-based analysis of software aging and rejuvenation," IEEE Transactions on Reliability, vol. 54, pp. 541-548, 2005. (Pubitemid 41638271)
    • (2005) IEEE Transactions on Reliability , vol.54 , Issue.3 , pp. 541-548
    • Bao, Y.1    Sun, X.2    Trivedi, K.S.3
  • 12
    • 65249174979 scopus 로고    scopus 로고
    • Availability analysis of application servers using software rejuvenation and virtualization
    • Mar.
    • T. Thein and J. S. Park, "Availability analysis of application servers using software rejuvenation and virtualization," Journal of Computer Science and Technology, pp. 339-346, Mar. 2009.
    • (2009) Journal of Computer Science and Technology , pp. 339-346
    • Thein, T.1    Park, J.S.2
  • 15
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    • 0004311217 scopus 로고
    • ser. Holden-Day series in time series analysis. San Francisco, CA: Holden-Day
    • G. Box and G. Jenkins, Time series analysis, ser. Holden-Day series in time series analysis. San Francisco, CA: Holden-Day, 1970.
    • (1970) Time Series Analysis
    • Box, G.1    Jenkins, G.2
  • 22
    • 65749112026 scopus 로고    scopus 로고
    • [Online]. Available
    • Amazon elastic compute cloud. Amazon.com, Inc. [Online]. Available: http://aws.amazon.com/ec2/
    • Amazon Elastic Compute Cloud


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.