TY - GEN
T1 - End-to-end Characterization of Game Streaming Applications on Mobile Platforms
AU - Bhuyan, Sandeepa
AU - Zhao, Shulin
AU - Ying, Ziyu
AU - Kandemir, Mahmut T.
AU - Das, Chita R.
N1 - Funding Information:
We thank our shepherd, Martin Arlitt, and the anonymous reviewers for their insightful feedback towards improving the paper content and presentation. This research is supported in part by NSF grants #1629915, #2116962, #1763681, #1912495, and #1526750. The content of this paper is the responsibility of the authors and does not necessarily represent the official views of NSF.
Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/6/6
Y1 - 2022/6/6
N2 - With the advent of 5G, hosting high-quality game streaming applications on mobile devices has become a reality. To our knowledge, no prior study systematically investigates the < QoS, Energy > tuple on the end-to-end game streaming pipeline across the cloud, network, and edge devices to understand the individual contributions of the different pipeline stages. In this paper, we present a comprehensive performance and power analysis of the entire game streaming pipeline through extensive measurements with a high-end workstation mimicking the cloud end, an open-source platform (Moonlight-GameStreaming) emulating the edge device/mobile platform, and two network settings (WiFi and 5G). Our study shows that the rendering stage and the encoding stage at the cloud end are the bottlenecks for 4K streaming. While 5G is certainly more suitable for supporting enhanced video quality with 4K streaming, it is more expensive in terms of power consumption compared to WiFi. Further, the network interface and the decoder units in mobile devices need more energy-efficient design to support high quality games at a lower cost. These observations should help in designing more cost-effective future cloud gaming platforms.
AB - With the advent of 5G, hosting high-quality game streaming applications on mobile devices has become a reality. To our knowledge, no prior study systematically investigates the < QoS, Energy > tuple on the end-to-end game streaming pipeline across the cloud, network, and edge devices to understand the individual contributions of the different pipeline stages. In this paper, we present a comprehensive performance and power analysis of the entire game streaming pipeline through extensive measurements with a high-end workstation mimicking the cloud end, an open-source platform (Moonlight-GameStreaming) emulating the edge device/mobile platform, and two network settings (WiFi and 5G). Our study shows that the rendering stage and the encoding stage at the cloud end are the bottlenecks for 4K streaming. While 5G is certainly more suitable for supporting enhanced video quality with 4K streaming, it is more expensive in terms of power consumption compared to WiFi. Further, the network interface and the decoder units in mobile devices need more energy-efficient design to support high quality games at a lower cost. These observations should help in designing more cost-effective future cloud gaming platforms.
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U2 - 10.1145/3489048.3522650
DO - 10.1145/3489048.3522650
M3 - Conference contribution
AN - SCOPUS:85132172351
T3 - SIGMETRICS/PERFORMANCE 2022 - Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
SP - 11
EP - 12
BT - SIGMETRICS/PERFORMANCE 2022 - Abstract Proceedings of the 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems
PB - Association for Computing Machinery, Inc
T2 - 2022 ACM SIGMETRICS/IFIP PERFORMANCE Joint International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS/PERFORMANCE 2022
Y2 - 6 June 2022 through 10 June 2022
ER -