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
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;
Conference_Titel :
Network and Systems Support for Games (NetGames), 2013 12th Annual Workshop on
Conference_Location :
Denver, CO, USA
DOI :
10.1109/NetGames.2013.6820610