QoE-aware virtual machine placement for cloud games

Annual Workshop on Network and System Support for Games(2013)

引用 30|浏览51
暂无评分
摘要
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.
更多
查看译文
关键词
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,
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要