Fine-grained power modeling for smartphones using system call tracing

Abhinav Pathak, Y. Charlie Hu, Ming Zhang, Paramvir Bahl, Yi-Min Wang
2011 Proceedings of the sixth conference on Computer systems - EuroSys '11  
Accurate, fine-grained online energy estimation and accounting of mobile devices such as smartphones is of critical importance to understanding and debugging the energy consumption of mobile applications. We observe that stateof-the-art, utilization-based power modeling correlates the (actual) utilization of a hardware component with its power state, and hence is insufficient in capturing several power behavior not directly related to the component utilization in modern smartphones. Such
more » ... r arise due to various low level power optimizations programmed in the device drivers. We propose a new, system-call-based power modeling approach which gracefully encompasses both utilization-based and non-utilization-based power behavior. We present the detailed design of such a power modeling scheme and its implementation on Android and Windows Mobile. Our experimental results using a diverse set of applications confirm that the new model significantly improves the fine-grained as well as whole-application energy consumption accuracy. We further demonstrate fine-grained energy accounting enabled by such a fined-grained power model, via a manually implemented eprof, the energy counterpart of the classic gprof tool, for profiling application energy drain.
doi:10.1145/1966445.1966460 dblp:conf/eurosys/PathakHZBW11 fatcat:qx2ks75mc5dkjg6x7gsbo3x55m