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
Link To Document