• DocumentCode
    1967748
  • Title

    PaaS-Oriented Performance Modeling for Cloud Computing

  • Author

    Zhang, Wenbo ; Huang, Xiang ; Chen, Ningjiang ; Wang, Wei ; Zhong, Hua

  • Author_Institution
    Technol. Center of Software Eng., Inst. of Software, Beijing, China
  • fYear
    2012
  • fDate
    16-20 July 2012
  • Firstpage
    395
  • Lastpage
    404
  • Abstract
    PaaS is one of the most popular paradigms of cloud computing and the performance guarantee of PaaS-oriented applications has been critically concerned. Performance models, such as a Layer Queue Network (LQN) model, are efficient at performance guaranteeing in a highly dynamic computing environment for their capabilities of capacity planning. However, it is not a trivial work to build and employ such models for a PaaS platform because of the lack of designs and the transaction-intensive feature of the PaaS-oriented applications. In this paper, a PaaS-oriented performance modeling approach is proposed. The LQN model of the PaaS-oriented application can be dynamically built through tracing their interactions with the PaaS platform. And the CPU consumptions, which are important to the accuracy of the LQN model, can be refined through a Kalman-filter method. A modeling tool is implemented and experimental results have shown the effectiveness of our approach.
  • Keywords
    Kalman filters; cloud computing; feature extraction; queueing theory; service-oriented architecture; CPU consumptions; Kalman filter method; LQN model; PaaS-oriented applications; PaaS-oriented performance modeling; capacity planning; cloud computing; dynamic computing environment; transaction-intensive feature; Cloud computing; Computational modeling; Kalman filters; Mathematical model; Predictive models; Servers; Cloud computing; PaaS; Performance modeling; Kalman-filter;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Software and Applications Conference (COMPSAC), 2012 IEEE 36th Annual
  • Conference_Location
    Izmir
  • ISSN
    0730-3157
  • Print_ISBN
    978-1-4673-1990-4
  • Electronic_ISBN
    0730-3157
  • Type

    conf

  • DOI
    10.1109/COMPSAC.2012.59
  • Filename
    6340189