DocumentCode :
3434341
Title :
A Cognitive Platform for Mobile Cloud Gaming
Author :
Wei Cai ; Conghui Zhou ; Leung, Victor C. M. ; Min Chen
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
Volume :
1
fYear :
2013
fDate :
2-5 Dec. 2013
Firstpage :
72
Lastpage :
79
Abstract :
Mobile cloud gaming provides a whole new service model for the video game industry to overcome the intrinsic restrictions of mobile devices and piracy issues. However, the diversity of end-user devices and frequent changes in network quality of service and cloud responses result in unstable Quality of Experience (QoE) for game players. A cognitive cloud gaming platform, which could overcome the above problem by learning about the game player´s environment and adapting the cloud gaming service accordingly, does not currently exist. To fill this void, we design and implement a component-based gaming platform that supports click-and-play, intelligent resource allocation and partial offline execution, to provide cognitive capabilities across the cloud gaming system. Extensive experiments have been performed to show that intelligent partitioning leads to better system performance, such as overall latency.
Keywords :
cloud computing; computer games; mobile computing; quality of experience; quality of service; resource allocation; QoE; click-and-play; cloud responses; cognitive cloud gaming platform; component-based gaming platform; end-user devices; game player environment; intelligent partitioning; intelligent resource allocation; mobile cloud gaming; mobile devices; network quality-of-service; overall latency; partial offline execution; piracy issues; quality-of-experience; service model; system performance; video game industry; Browsers; Cloud computing; Games; Mobile communication; Mobile handsets; Servers; Streaming media; cloud; cognitive; game; mobile; platform;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2013 IEEE 5th International Conference on
Conference_Location :
Bristol
Type :
conf
DOI :
10.1109/CloudCom.2013.17
Filename :
6753780
Link To Document :
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