Abstract
Due to the fast development of mobile devices, the requirement of graphics processing has grown rapidly in recent years. Graphic processing unit provides the computing of 3D effect in mobile devices, such as user interface and 3D application. Comparing with personal computer, the computing power of mobile devices is much lower. The concept of remote rendering is connecting the graphic processing unit in the server to improve the local rendering ability. However, when network bandwidth is unstable or even unreachable, the user experience would extremely drop. In the recent research, there are a couples mount of topics in association with decreasing network packet transmission. In the unstable network environment, the correlation research is still lacking. This paper proposes a hybrid remote rendering approach for craphic applications on cloud computing. It takes local rendering ability and network bandwidth as input arguments and dynamically sets the frames drawing sequence on client and rendering server. In this study, the experiment chooses 3 applications and runs in 2 different network environments. In the 10 % higher than the lowest requirement bandwidth, this framework could improve 44.99 % frames in each second. In lowest bandwidth requirement, it could improve 44.57 % frames and 30.86 % in 10 % lower than lowest requirement. In the unstable bandwidth, there are around 33.74 % increasing in frame rate.
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Acknowledgment
The authors would like to thank the National Science Council of the Republic of China, Taiwan for supporting this research under Contract NSC 101-2628-E-194-003-MY3, 101-2221-E-197-008-MY3 and 102-2219-E-194-002.
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Lai, CF., Chao, HC., Tsai, ZR., Lai, YH., Hassan, M.M. (2015). A Hybrid Remote Rendering Approach for Graphic Applications on Cloud Computing. In: Leung, V., Lai, R., Chen, M., Wan, J. (eds) Cloud Computing. CloudComp 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 142. Springer, Cham. https://doi.org/10.1007/978-3-319-16050-4_1
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DOI: https://doi.org/10.1007/978-3-319-16050-4_1
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