• DocumentCode
    2174953
  • Title

    QoE-aware virtual machine placement for cloud games

  • Author

    Hua-Jun Hong ; De-Yu Chen ; Chun-Ying Huang ; Kuan-Ta Chen ; Cheng-Hsin Hsu

  • Author_Institution
    Dept. of Comput. Sci., Nat. Tsing Hua Univ., Hsinchu, Taiwan
  • fYear
    2013
  • fDate
    9-10 Dec. 2013
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    We study an optimization problem to maximize the cloud gaming provider´s total profit while achieving just-good-enough Quality-of-Experience (QoE). The optimization problem has exponential running time, and we develop an efficient heuristic algorithm. We also present an alternative formulation and algorithms for closed cloud gaming services, in which the profit is not a concern and overall gaming QoE needs to be maximized. We conduct extensive trace-driven simulations, which show that the proposed heuristic algorithms: (i) achieve close-to-optimal solutions, (ii) always achive 80+% QoE level, and (iii) outperform the state-of-the-art placement heuristic by up to 3.5 times in profits.
  • Keywords
    cloud computing; computer games; heuristic programming; quality of experience; virtual machines; QoE-aware virtual machine placement; close-to-optimal solution; closed cloud gaming services; cloud games; cloud gaming provider total profit; exponential running time; gaming QoE; heuristic algorithm; just-good-enough quality-of-experience; optimization problem; state-of-the-art placement heuristic; trace-driven simulation; Cloud computing; Games; Heuristic algorithms; IP networks; Optimization; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network and Systems Support for Games (NetGames), 2013 12th Annual Workshop on
  • Conference_Location
    Denver, CO, USA
  • Type

    conf

  • DOI
    10.1109/NetGames.2013.6820610
  • Filename
    6820610