Resource management for cognitive cloud gaming

Author

Wei Cai ; Min Chen ; Conghui Zhou ; Leung, Victor C. M. ; Chan, Henry

Author_Institution

Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada

fYear

2014

fDate

10-14 June 2014

Firstpage

3456

Lastpage

3461

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.

Keywords

cloud computing; cognitive radio; computer games; optimisation; quality of experience; resource allocation; cloud resource minimization; cloud server; cloud system; cognitive cloud gaming; cognitive resource management; component based game; different optimization targets; gaming component migration; gaming on demand solution; intelligent resource management; player terminal; quality of experience; throughput oriented optimization; Gallium arsenide; Games; Mobile communication; Optimization; Quality of service; Resource management; Throughput; cloud; cognitive; game; resource allocation;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications (ICC), 2014 IEEE International Conference on

Conference_Location

Sydney, NSW

Type

conf

DOI

10.1109/ICC.2014.6883856

Filename

6883856