• DocumentCode
    2860910
  • Title

    Inventory-Based Resource Management in Cloud Computing

  • Author

    Jiang, Qinlong ; Feng, Weibing ; Peng, Junjie ; Han, Fangfang ; Li, Qing ; Zhang, Wu ; Su, Haitao

  • Author_Institution
    Sch. of Comput. Eng. & Sci., Shanghai Univ., Shanghai, China
  • fYear
    2011
  • fDate
    14-17 Oct. 2011
  • Firstpage
    142
  • Lastpage
    145
  • Abstract
    As a new application model, cloud computing enables users to distribute virtual resource in cloud data center as demand. However, the performance declines as the increase of users. This paper focuses on the network and I/O performance decline due to the virtual machine image and virtual disk image densely deployment in Cloud computing management platform. The method and model for rapid deployment and resource share are proposed on basis of shared storage and inventory theory which is widely used in commodity market. Experiment shows the method can effectively alleviate the performance decline caused by users´ dense image requests in cloud computing management platform.
  • Keywords
    cloud computing; computer centres; resource allocation; virtual machines; I/O performance; cloud computing management platform; cloud data center; inventory-based resource management; virtual disk image; virtual machine; virtual resource distribute; Analytical models; Cloning; Cloud computing; Computational modeling; Databases; Inventory control; Servers; cloud computing; inventory; resource management; virtualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Distributed Computing and Applications to Business, Engineering and Science (DCABES), 2011 Tenth International Symposium on
  • Conference_Location
    Wuxi
  • Print_ISBN
    978-1-4577-0327-0
  • Type

    conf

  • DOI
    10.1109/DCABES.2011.54
  • Filename
    6118584