Resource management for cognitive cloud gaming

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

doi:10.1109/ICC.2014.6883856

Resource management for cognitive cloud gaming

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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	2014 IEEE International Conference on Communications, ICC 2014
Publisher	IEEE Computer Society
Pages	3456-3461
Number of pages	6
ISBN (Print)	9781479920037
DOIs	https://doi.org/10.1109/ICC.2014.6883856
Publication status	Published - 1 Jan 2014
Event	2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia Duration: 10 Jun 2014 → 14 Jun 2014

Conference

Conference	2014 1st IEEE International Conference on Communications, ICC 2014
Country/Territory	Australia
City	Sydney, NSW
Period	10/06/14 → 14/06/14

Keywords

cloud
cognitive
game
resource allocation

ASJC Scopus subject areas

Computer Networks and Communications

More information

10.1109/ICC.2014.6883856

Cite this

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title = "Resource management for cognitive cloud gaming",

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, cognitive, game, resource allocation",

author = "Wei Cai and Min Chen and Conghui Zhou and Leung, {Victor C.M.} and Chan, {Chun Bun Henry}",

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booktitle = "2014 IEEE International Conference on Communications, ICC 2014",

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AU - Cai, Wei

AU - Chen, Min

AU - Zhou, Conghui

AU - Leung, Victor C.M.

AU - Chan, Chun Bun Henry

PY - 2014/1/1

Y1 - 2014/1/1

N2 - 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.

AB - 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.

KW - cloud

KW - cognitive

KW - game

KW - resource allocation

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DO - 10.1109/ICC.2014.6883856

M3 - Conference article published in proceeding or book

SN - 9781479920037

SP - 3456

EP - 3461

BT - 2014 IEEE International Conference on Communications, ICC 2014

PB - IEEE Computer Society

T2 - 2014 1st IEEE International Conference on Communications, ICC 2014

Y2 - 10 June 2014 through 14 June 2014

ER -

Resource management for cognitive cloud gaming

Abstract

Conference

Keywords

ASJC Scopus subject areas

More information

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