• DocumentCode
    173019
  • Title

    Evaluation of Highly Reliable Cloud Computing Systems Using Non-sequential Monte Carlo Simulation

  • Author

    Snyder, Brett ; Devabhaktuni, Vijay ; Alam, M. ; Green, Ron

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
  • fYear
    2014
  • fDate
    June 27 2014-July 2 2014
  • Firstpage
    940
  • Lastpage
    941
  • Abstract
    The cloud computing paradigm has ushered in the need for new methods of evaluating the performance in a given cloud computing systems (CCS) in order to ensure customer and service level agreement satisfaction. This study proposes a method for evaluating the reliability of a CCS alongside the corresponding performance metrics. Specifically, and for the first time, non-sequential Monte Carlo simulation (MCS) is used to evaluate CCS reliability at a system-wide scale. Results demonstrate that the proposed method is promising and may apply to systems at a large scale.
  • Keywords
    Monte Carlo methods; cloud computing; contracts; customer satisfaction; software reliability; CCS reliability evaluating; customer satisfaction; highly reliable cloud computing systems evaluation; nonsequential Monte Carlo simulation; performance metrics; service level agreement satisfaction; Bandwidth; Cloud computing; Computational modeling; Convergence; Monte Carlo methods; Reliability; Servers; Cloud Computing; Monte Carlo simulation; Reliability; System Design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2014 IEEE 7th International Conference on
  • Conference_Location
    Anchorage, AK
  • Print_ISBN
    978-1-4799-5062-1
  • Type

    conf

  • DOI
    10.1109/CLOUD.2014.133
  • Filename
    6973839