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 proceedingConference article published in proceeding or bookAcademic researchpeer-review

4 Citations (Scopus)


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 languageEnglish
Title of host publication2014 IEEE International Conference on Communications, ICC 2014
PublisherIEEE Computer Society
Number of pages6
ISBN (Print)9781479920037
Publication statusPublished - 1 Jan 2014
Event2014 1st IEEE International Conference on Communications, ICC 2014 - Sydney, NSW, Australia
Duration: 10 Jun 201414 Jun 2014


Conference2014 1st IEEE International Conference on Communications, ICC 2014
CitySydney, NSW


  • cloud
  • cognitive
  • game
  • resource allocation

ASJC Scopus subject areas

  • Computer Networks and Communications


Dive into the research topics of 'Resource management for cognitive cloud gaming'. Together they form a unique fingerprint.

Cite this