• DocumentCode
    1820199
  • Title

    Dynamic Provisioning Modeling for Virtualized Multi-tier Applications in Cloud Data Center

  • Author

    Bi, Jing ; Zhu, Zhiliang ; Tian, Ruixiong ; Wang, Qingbo

  • Author_Institution
    Sch. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
  • fYear
    2010
  • fDate
    5-10 July 2010
  • Firstpage
    370
  • Lastpage
    377
  • Abstract
    Dynamic provisioning is a useful technique for handling the virtualized multi-tier applications in cloud environment. Understanding the performance of virtualized multi-tier applications is crucial for efficient cloud infrastructure management. In this paper, we present a novel dynamic provisioning technique for a cluster-based virtualized multi-tier application that employ a flexible hybrid queueing model to determine the number of virtual machines at each tier in a virtualized application. We present a cloud data center based on virtual machine to optimize resources provisioning. Using simulation experiments of three-tier application, we adopt an optimization model to minimize the total number of virtual machines while satisfying the customer average response time constraint and the request arrival rate constraint. Our experiments show that cloud data center resources can be allocated accurately with these techniques, and the extra cost can be effectively reduced.
  • Keywords
    Internet; computer centres; queueing theory; resource allocation; virtual machines; cloud data center resources; dynamic provisioning modeling; hybrid queueing model; optimization model; virtual machines; virtualized multitier applications; Analytical models; Clouds; Computational modeling; Dynamic scheduling; Optimization; Time factors; Virtual machining; cloud computing; performance modeling; resource provisioning; virtualized application;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing (CLOUD), 2010 IEEE 3rd International Conference on
  • Conference_Location
    Miami, FL
  • Print_ISBN
    978-1-4244-8207-8
  • Electronic_ISBN
    978-0-7695-4130-3
  • Type

    conf

  • DOI
    10.1109/CLOUD.2010.53
  • Filename
    5557972