Abstract
Energy demands of applications on mobile platforms are increasing. As a result, there has been a growing interest in optimising their energy efficiency. As mobile platforms are fast-changing, diverse and complex, the optimisation of energy use is a non-trivial task. To date, most energy optimisation methods either use models or external meters to estimate energy use. Unfortunately, it becomes hard to build widely applicable energy models, and external meters are neither cheap nor easy to set up. To address this issue, we run application variants in-vivo on the phone and use a precise internal battery monitor to measure energy use. We describe a methodology for optimising a target application in-vivo and with application-specific models derived from the device’s own internal meter based on jiffies and lines of code. We demonstrate that this process produces a significant improvement in energy efficiency with limited loss of accuracy.
Original language | English |
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Title of host publication | Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services |
Editors | Cristian Borcea, Shiwen Mao, Jian Tang |
Place of Publication | New York NYUSA |
Publisher | Association for Computing Machinery (ACM) |
Pages | 207-215 |
Number of pages | 9 |
ISBN (Electronic) | 9781450360937 |
DOIs | |
Publication status | Published - 2018 |
Externally published | Yes |
Event | 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Mobiquitous 2018 - New York, United States of America Duration: 5 Nov 2018 → 7 Nov 2018 |
Conference
Conference | 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, Mobiquitous 2018 |
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Country/Territory | United States of America |
City | New York |
Period | 5/11/18 → 7/11/18 |
Keywords
- Android
- Energy consumption
- Mobile applications
- Multi-objective optimisation
- Non-functional properties