Optimizing Energy Consumption of Mobile Games

Yonghun Choi, Seonghoon Park, Seunghyeok Jeon, Rhan Ha, Hojung Cha

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


Games are energy-intensive applications on mobile devices. Optimizing the energy efficiency of games is hence critical for battery-limited mobile devices. Although the advent of energy-aware scheduling (EAS) integrated in recent devices has provided opportunities for improved energy management, the framework is not specifically tuned for game applications. In this paper, we aim to improve the energy efficiency of game applications running on EAS-enabled mobile devices. To this end, we first analyze the functional characteristics of games, and investigate the source of the energy inefficiency. We then propose a scheme, called System-level Energy-optimization for Game Applications (SEGA), to improve the energy efficiency of games. SEGA governs CPU and GPU power consumption in a tightly coupled manner by employing three key techniques: (1) Lsync-aware GPU DVFS governor, (2) adaptive capacity clamping, and (3) on-demand touch boosting. We implemented SEGA on the latest Android-based smartphones. The evaluation results for 23 popular games showed that SEGA reduced the energy consumption of the Google Pixel 2 XL and Samsung Galaxy S9 Plus smartphones, at the device level, by 6.1-22.3 and 4.0-11.7 percent, respectively, with a quality of service (QoS) degradation of 1.1 and 0.5 percent, on average.

Original languageEnglish
Pages (from-to)3744-3756
Number of pages13
JournalIEEE Transactions on Mobile Computing
Issue number10
Publication statusPublished - 2022 Oct 1

Bibliographical note

Funding Information:
This work was supported by National Research Foundation of Korea(NRF) under Grant NRF-2019R1A2C2004619 and Institute for Information & communications Technology Promotion(IITP) grant funded by the Korea government MSIT under Grant 2018-0-00532, Development of High-Assurance (≥EAL6) Secure Microkernel).

Publisher Copyright:
© 2002-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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