• DocumentCode
    3189215
  • Title

    Software Rejuvenation in Eucalyptus Cloud Computing Infrastructure: A Method Based on Time Series Forecasting and Multiple Thresholds

  • Author

    Araujo, Jean ; Matos, Rubens ; Maciel, Paulo ; Vieira, Francisco ; Matias, Rivalino ; Trivedi, Kishor S.

  • Author_Institution
    Inf. Center, Fed. Univ. of Pernambuco, Recife, Brazil
  • fYear
    2011
  • fDate
    Nov. 29 2011-Dec. 2 2011
  • Firstpage
    38
  • Lastpage
    43
  • Abstract
    The need for reliability and availability has increased in modern applications, in order to handle rapidly growing demands while providing uninterrupted service. Cloud computing systems fundamentally provide access to large pools of data and computational resources through a variety of interfaces similarly to existing grid and HPC resource management and programming systems. This work proposes an approach that uses time series to schedule rejuvenation, so as to reduce the downtime by predicting the proper moment to perform the rejuvenation.We show the results of our approach through experiments using the Eucalyptus cloud computing framework.
  • Keywords
    cloud computing; grid computing; resource allocation; scheduling; software reliability; time series; HPC resource management; cloud computing systems; computational resources; data resources; eucalyptus cloud computing infrastructure; grid resource management; programming systems; rejuvenation scheduling; software rejuvenation; time series forecasting; uninterrupted service; Aging; Autoregressive processes; Cloud computing; Monitoring; Time series analysis; Yttrium; Software aging and rejuvenation; cloud computing; dependability analysis; time series;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Aging and Rejuvenation (WoSAR), 2011 IEEE Third International Workshop on
  • Conference_Location
    Hiroshima
  • Print_ISBN
    978-1-4673-0739-0
  • Type

    conf

  • DOI
    10.1109/WoSAR.2011.18
  • Filename
    6141723