• DocumentCode
    1884127
  • Title

    Low-cost application image distribution on worldwide cloud front server

  • Author

    Liu, Yang ; Bai, Shi ; Zhang, Weiyi ; Zhang, Jun

  • Author_Institution
    Dept. of Comput. Sci., North Dakota State Univ., Fargo, ND, USA
  • fYear
    2011
  • fDate
    10-15 April 2011
  • Firstpage
    660
  • Lastpage
    665
  • Abstract
    Cloud computing opens a new area of supplement, consumption, and delivery framework for IT services. Customers could be able to order Virtual Applications through the cloud. To reduce the latency time, the cloud service providers implement some strategies (e.g., cloudfront service) to speed up the applications delivery. However, these strategies do not consider the profit of application providers. In this paper we address the problem which is to maximize the profit of application providers based on the Original-Front server network model. We studied two different scenarios and proposed two efficient heuristic algorithms. Our simulation results show that our heuristic algorithms can increase the profit of application providers significantly.
  • Keywords
    Web services; cloud computing; IT services; cloud computing; cloud service providers; delivery framework; heuristic algorithm; low cost application image distribution; original front server network model; virtual applications; worldwide cloud front server; Artificial neural networks; Cloud computing; Heuristic algorithms; Processor scheduling; Protocols; Servers; Application Distribution; Cloud Computing; Front Server; Maximize profit;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4577-0249-5
  • Electronic_ISBN
    978-1-4577-0248-8
  • Type

    conf

  • DOI
    10.1109/INFCOMW.2011.5928895
  • Filename
    5928895