A Middleware Framework for Application-Aware and User-Specific Energy Optimization in Smart Mobile Devices
Pervasive and Mobile Computing 20 (2015) 47–63 Contents lists available at ScienceDirect Pervasive and Mobile Computing journal homepage: www.elsevier.com/locate/pmc A middleware framework for application-aware and user-specific energy optimization in smart mobile devices Sudeep Pasricha a,∗, Brad K. Donohoo b, Chris Ohlsen c a Colorado State University, Fort Collins, CO 80523, USA b U.S. Department of the Air Force, Roy, UT 84067, UT 84067, USA c Woodward, Inc., Fort Collins, CO 80525, USA article info a b s t r a c t Article history: Mobile battery-operated devices are becoming an essential instrument for business, com- Received 5 August 2014 munication, and social interaction. In addition to the demand for an acceptable level of per- Received in revised form 22 December 2014 formance and a comprehensive set of features, users often desire extended battery lifetime. Accepted 7 January 2015 In fact, limited battery lifetime is one of the biggest obstacles facing the current utility and Available online 14 January 2015 future growth of increasingly sophisticated ``smart'' mobile devices. This paper proposes a novel application-aware and user-interaction aware energy optimization middleware Keywords: framework (AURA) for pervasive mobile devices. AURA optimizes CPU and screen back- Energy optimization Smart mobile systems light energy consumption while maintaining a minimum acceptable level of performance. Pervasive computing The proposed framework employs a novel Bayesian application classifier and management Machine learning strategies based on Markov Decision Processes and Q-Learning to achieve energy savings. Middleware Real-world user evaluation studies on Google Android based HTC Dream and Google Nexus One smartphones running the AURA framework demonstrate promising results, with up to 29% energy savings compared to the baseline device manager, and up to 5×savings over prior work on CPU and backlight energy co-optimization.
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