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Energy-aware adaptation for mobile applications
Abstract
In this paper, we demonstrate that a collaborative relationship between the operating system and applications can be used to meet user-specified goals for battery duration. We first show how applications can dynamically modify their behavior to conserve energy. We then show how the Linux operating system can guide such adaptation to yield a battery-life of desired duration. By monitoring energy supply and demand, it is able to select the correct tradeoff between energy conservation and application quality. Our evaluation shows that this approach can meet goals that extend battery life by as much as 30%.
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Cited by
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CloudScale: elastic resource scaling for multi-tenant cloud systems
Shen, Z., Subbiah, S., Gu, X., & Wilkes, J. (2011) · Proceedings of the 2nd ACM Symposium on Cloud Computing · doi:10.1145/2038916.2038921 · Cited by 592
Towards wearable cognitive assistance
Ha, K., Chen, Z., Hu, W., Richter, W., Pillai, P., & Satyanarayanan, M. (2014) · Proceedings of the 12th annual international conference on Mobile systems, applications, and services · doi:10.1145/2594368.2594383 · Cited by 476
Self-citationImproving dynamic voltage scaling algorithms with PACE
Lorch, J. R., & Smith, A. J. (2001) · Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems · doi:10.1145/378420.378429 · Cited by 386
Metadata
- Authors
- Flinn, J., & Satyanarayanan, M.
- Venue
- Proceedings of the seventeenth ACM symposium on Operating systems principles
- Publisher
- ACM
- Published
- 1999-12-12
- Pages
- 48-63
- OpenAlex
- W2145695845
- Cited by
- 596
- References
- 0
- FWCI
- 79.79
- Type
- conference paper
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Energy-aware adaptation for mobile applications. https://app.cochat.ai/papers/10.1145/319151.319155
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- Flinn, J., & Satyanarayanan, M. (1999). Energy-aware adaptation for mobile applications. Proceedings of the seventeenth ACM symposium on Operating systems principles. https://doi.org/10.1145/319151.319155
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
