GPU Consolidation for Cloud Games: Are We There Yet?


Since the operating expense is crucial to the increasingly popular cloud gaming services, server consolidation is one of the key technologies for the success of these services. In this paper, we conduct extensive experiments using real GPUs and a complete cloud gaming platform to answer the following question: Are modern GPUs ready for cloud gaming? Our experiment results show that modern GPUs have low consolidation overhead, and are powerful enough to concurrently support multiple GPU-intensive cloud games. For example, when using our cloud gaming platform, the recent NVidia K2 GPU outperforms NVidia Quadro 6000 by up to 3.46 times in FPS (frame per second). Moreover, our experiments lead to two new findings that are counter to common beliefs. First, with the latest GPU virtualization technique, shared GPUs may run faster than dedicated GPUs. Second, more context switches not necessarily lead to lower FPS. Last, our experiments shed some light on further enhancements of cloud gaming platforms. For example, offloading the software video codec to the GPUs will result in better gaming experience, which is one of our future tasks.


Hua-Jun Hong, Tao-Ya Fan-Chiang, Che-Rung Lee, Kuan-Ta Chen, Chun-Ying Huang and Cheng-Hsin Hsu, "GPU Consolidation for Cloud Games: Are We There Yet?," In Proceedings of IEEE/ACM NetGames 2014, 2014.


@INPROCEEDINGS{hong14:cloud_game_gpu, AUTHOR = {Hua-Jun Hong and Tao-Ya Fan-Chiang and Che-Rung Lee and Kuan-Ta Chen and Chun-Ying Huang and Cheng-Hsin Hsu}, TITLE = {GPU Consolidation for Cloud Games: Are We There Yet?}, BOOKTITLE = {Proceedings of IEEE/ACM NetGames 2014}, YEAR = {2014} }