MyBatRecommender: Automated optimization of energy consumption for Android smartphones in software layer

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Abstract

Nowadays smartphones are composed of a wide range of sensors, components and resources such as GPS (Global Positioning System), Bluetooth and Internet connection through Wi-Fi, 3G, among others. Along with the smartphone's increasing popularity around the world, there is an increasing development and popularity of power-hungry applications: applications that take advantage from these resources and may reduce the energy life time of smartphones to a few operation hours a day. The article goal is to present a mechanism that is able to dynamically manage the smartphone components states, for example turning off unnecessary interfaces, at run time. For this the mechanism collects and analyze data from the smartphone usage along the days in order to predict when the components should be managed. The experimental results show that up to 30% of energy savings is achieved when comparing to the energy dissipation of an smartphone without the proposed mechanism installed.

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CITATION STYLE

APA

De Aráujo Cunha, M. P., & Zaina, L. A. M. (2016). MyBatRecommender: Automated optimization of energy consumption for Android smartphones in software layer. In Proceedings of the International Conference on Software Engineering and Knowledge Engineering, SEKE (Vol. 2016-January, pp. 231–236). Knowledge Systems Institute Graduate School. https://doi.org/10.18293/SEKE2016-131

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