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Power management using game state detection on android smartphones

Published: 25 June 2013 Publication History

Abstract

Compute intensive games currently represent the class of most popular and at the same time most power consuming applications on mobile phones. To reduce the power consumption of games we have developed a game state specific power management technique. Games typically consist of several states such as the game loading, main menu, in-game menu and gaming state. Each of these states has its specific processing requirements, e.g., the game loading state is likely to be memory bound and menu scenes are less interactive than gaming states and hence do not require high frame rates to satisfy the user's perception. Our game state specific governor (i) recognizes these game states by intercepting and analyzing calls made by the game application to the graphics library, and (ii) exploits these state-specific characteristics to enable power management strategies targeted to these individual states at runtime. Thereby, we achieve significant power savings of up to 50.8% compared to Android's default interactive governor.

Reference

[1]
Demo Video of Power Management using Game State Detection (http://www.rcs.ei.tum.de/en/staff/dietrich).

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cover image ACM Conferences
MobiSys '13: Proceeding of the 11th annual international conference on Mobile systems, applications, and services
June 2013
568 pages
ISBN:9781450316729
DOI:10.1145/2462456
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 June 2013

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Author Tags

  1. android
  2. mobile games
  3. power management
  4. workload prediction

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  • Demonstration

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MobiSys'13
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MobiSys '13 Paper Acceptance Rate 33 of 211 submissions, 16%;
Overall Acceptance Rate 274 of 1,679 submissions, 16%

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