- author = "Mahmoud A. Bokhari and Brad Alexander and Markus Wagner",
- title = "In-Vivo and Offline Optimisation of Energy Use in the Presence of Small Energy Signals: A Case Study on a Popular Android Library",
- booktitle = "Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services, MobiQuitous 2018",
- year = "2018",
- editor = "Henning Schulzrinne and Pan Li",
- pages = "207--215",
- address = "New York",
- month = "5-7 " # nov,
- organisation = "EAI",
- publisher = "ACM",
- keywords = "genetic algorithms, genetic programming, genetic improvement, electrical batteries, software engineering, Search-based software engineering, SBSE, energy consumption, mobile applications, multi-objective optimisation, Android, Non-functional properties",
- isbn13 = "9781450360937",
-
URL = "
https://cs.adelaide.edu.au/~markus/pub/2018mobiquitous-smallEnergySignals.pdf",
-
URL = "
https://srb.sdl.edu.sa/esploro/outputs/conferenceProceeding/In-vivo-and-offline-optimisation-of-energy/9930446008331",
-
DOI = "
doi:10.1145/3286978.3287014",
- size = "9 pages",
-
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.",
-
notes = "Surrogate linear model
Mobile phone physics library. p214 'energy savings of up to 22 percent'",
