MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
CODES/ISSS '10 Proceedings of the eighth IEEE/ACM/IFIP international conference on Hardware/software codesign and system synthesis
Fine-grained power modeling for smartphones using system call tracing
Proceedings of the sixth conference on Computer systems
Profiling resource usage for mobile applications: a cross-layer approach
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Self-constructive high-rate system energy modeling for battery-powered mobile systems
MobiSys '11 Proceedings of the 9th international conference on Mobile systems, applications, and services
Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof
Proceedings of the 7th ACM european conference on Computer Systems
Proceedings of the 10th international conference on Mobile systems, applications, and services
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Although the market for smartphones is growing rapidly, their utility remains severely limited by the battery life. As such, much research effort has been made to understand the power consumption of the application running on mobile devices. However, dynamic profiling tools need to run on the customized android platform, making them not suitable for ordinary mobile app developers. To address this limitation, this paper proposed a light-weight approach to find possible I/O energy wasting code in Android apps through static program analysis technique. We also provide a case study to evaluate the effectiveness of our approach.