Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/31452
Title: Resource management for cognitive cloud gaming
Authors: Cai, W
Chen, M
Zhou, C
Leung, VCM
Chan, HCB 
Keywords: Cloud
Cognitive
Game
Resource allocation
Issue Date: 2014
Publisher: IEEE
Source: 2014 IEEE International Conference on Communications (ICC), 10-14 June 2014, Sydney, NSW, p. 3456-3461 How to cite?
Abstract: In contrary to conventional gaming-on-demand solution, cognitive cloud gaming platform facilitates gaming component migration from the cloud server to the players' terminal, a novel flexible solution to provide Gaming as a Service. In this work, we model the component-based game and investigate the capacity of intelligent resource management for different optimization targets, including cloud resource minimization and throughput-oriented optimization. Experimental results show that, with the cognitive resource management, cloud system is adaptive to various service requirements, such as increasing the quantity of supported devices and reducing the network throughput of user terminals, while satisfying players' quality of experience.
URI: http://hdl.handle.net/10397/31452
ISBN: 
DOI: 10.1109/ICC.2014.6883856
Appears in Collections:Conference Paper

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