Accurate Prediction of Available Battery Time for Mobile Applications
| Autor: | Hojung Cha, Dongwon Kim, Wonwoo Jung, Yohan Chon, Yungeun Kim |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Battery (electricity)
Computer science business.industry Real-time computing 020206 networking & telecommunications 02 engineering and technology Energy consumption Power (physics) Hardware and Architecture 020204 information systems Embedded system 0202 electrical engineering electronic engineering information engineering Predictability business Mobile device Software |
| Zdroj: | ACM Transactions on Embedded Computing Systems. 15:1-17 |
| ISSN: | 1558-3465 1539-9087 |
| DOI: | 10.1145/2875423 |
| Popis: | Energy consumption in mobile devices is an important issue for both system developers and users. Users are aware of the battery-related information of their mobile devices and tend to take appropriate actions to increase the battery life. In this article, we propose a framework that accurately estimates the remaining battery time of applications at runtime. The framework profiles the power behavior of applications tied with activated hardware components and estimates the remaining battery budget utilizing the battery-related data provided by the device. The experiments validate that our method predicts the remaining battery time for applications with approximately 93% of accuracy. |
| Databáze: | OpenAIRE |
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