Storage-aware smartphone energy savings

Authors:
David T. Nguyen;Gang Zhou;Xin Qi;Ge Peng;Jianing Zhao;Tommy Nguyen;Duy Le
Affiliations:
College of William and Mary, Williamsburg, VA, USA;College of William and Mary, Williamsburg, VA, USA;College of William and Mary, Williamsburg, VA, USA;College of William and Mary, Williamsburg, VA, USA;College of William and Mary, Williamsburg, VA, USA;Rensselaer Polytechnic Institute, Troy, NY, USA;EMC Isilon, Seattle, WA, USA
Venue:
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Year:
2013

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Abstract

In this paper, to our best knowledge, we are first to provide an experimental study on how storage techniques affect power levels in smartphones and introduce energy-efficient approaches to reduce energy consumption. We evaluate power degradation at several layers of block I/O, focusing on the block layer and device driver. At each level, we investigate the amount of energy that can be saved, and use that to design and implement a prototype with optimal energy savings named SmartStorage. The system tracks the run-time I/O pattern of a smartphone that is then matched with the closest pattern from the benchmark table. After having obtained the optimal parameters, it dynamically configures storage parameters to reduce energy consumption. We evaluate our prototype by using the 20 most popular Android applications, and our energy-efficient approaches achieve from 23% to 52% of energy savings compared to using the current techniques.