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Mobile Networks and Applications

, Volume 19, Issue 2, pp 144–152 | Cite as

A Cloudlet-Assisted Multiplayer Cloud Gaming System

  • Wei Cai
  • Victor C. M. Leung
  • Long Hu
Article

Abstract

The unstable network connectivity is the bottleneck of providing Gaming as a service (GaaS) for mobile devices. Therefore, the most critical technical challenge is to compress and transmit the real-time gaming video, so that during the gaming session, the expected server transmission rate over the bandwidth-limited mobile network can be minimized, while satisfying the quality of experience for the players. Inspired by the idea of peer-to-peer sharing between multiple players, we propose a cloudlet-assisted multiplayer cloud gaming system, in which the mobile devices are connected to the cloud server for real-time interactive game videos, while sharing the received video frames with their peers via an ad hoc cloudlet. Experimental results show that expected server transmission rate can be significantly reduced compared to the conventional video encoding schemes for cloud games.

Keywords

Cloud Game Video Network Encoding Cloudlet 

References

  1. 1.
    Song W, Su X (2011) Review of mobile cloud computing, in Communication Software and Networks (ICCSN). IEEE, 3rd Int Conf pp 1 C4Google Scholar
  2. 2.
    Wang S, Dey S (2009) Modeling and characterizing user experience in a cloud server based mobile gaming approach. In: Global Telecommunications Conference, GLOBECOM 2009. IEEE, pp 1 C7Google Scholar
  3. 3.
    Chen M (2012) AMVSC: A Framework of Adaptive Mobile Video Streaming in the Cloud. IEEE, Globecom 2012. Anaheim, USAGoogle Scholar
  4. 4.
    Wang S, Dey S (2010) Rendering adaptation to address communication and computation constraints in cloud mobile gaming. In: Global Telecommunications Conference (GLOBECOM 2010). IEEE 2010, pp 1 C6Google Scholar
  5. 5.
    Levoy M, Hanrahan P (1996) Light field rendering. In: ACM SIGGRAPH, New Orleans, LAGoogle Scholar
  6. 6.
    Merkle P, Smolic A, Muller K, Wiegand T (2007) Efficient prediction structures for multiview video coding. In: IEEE Transactions on Circuits and Systems for Video Technology, vol 17, no 11, pp 1461 C1473Google Scholar
  7. 7.
    Cai W, Cheung G, Kwon T, Lee S-J (2011) Optimized frame structure for interactive light field streaming with cooperative cache. In: IEEE International Conference on Multimedia and Expo. Barcelona, SpainGoogle Scholar
  8. 8.
    Cheung G, Cheung N-M, Ortega A (2009) Optimized frame structure using distributed source coding for interactive multiview streaming. In: IEEE International Conference on Image Processing. Cairo, EgyptCrossRefGoogle Scholar
  9. 9.
    Cheung G, Ortega A, Cheung N-M (2009) Generation of redundant coding structure for interactive multiview streaming. In: Seventeenth International Packet Video Workshop, SeattleGoogle Scholar
  10. 10.
    Cheung N-M, Ortega A, Cheung G (2009) Distributed source coding techniques for interactive multiview video streaming. In: 27th Picture Coding Symposium, ChicagoGoogle Scholar
  11. 11.
    Lee J, Shin I, Park H (2006) Adaptive intra-frame assignment and bit-rate estimation for variable gop length in h.264, Circuits and Systems for Video Technology, IEEE Transactions on, vol 16, no 10, pp 1271 C1279Google Scholar
  12. 12.

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Electrical and Computer EngineeringThe University of British ColumbiaVancouverCanada
  2. 2.School of Computer Science and TechnologyHuazhong University of Science and TechnologyWuhanChina

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