Enhancing online power estimation accuracy for smartphones

This paper proposes an advanced online power estimation technique for multi-core smartphones. The proposed technique models each hardware component's power behavior, considering the component's power consumption characteristics. Our evaluation results show that the proposed technique has high accuracy (92.8%~97.2%) for applications in our evaluations, enough to be used in real smartphones.

[1]  Se Won Lee,et al.  Power-aware optimal checkpoint intervals for mobile consumer devices , 2011, IEEE Transactions on Consumer Electronics.

[2]  Paramvir Bahl,et al.  Fine-grained power modeling for smartphones using system call tracing , 2011, EuroSys '11.

[3]  Sungroh Yoon,et al.  Run-Time Adaptive Workload Estimation for Dynamic Voltage Scaling , 2009, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

[4]  Minyong Kim,et al.  An online power estimation technique for multi-core smartphones with advanced display components , 2012, 2012 IEEE International Conference on Consumer Electronics (ICCE).

[5]  Lizy Kurian John,et al.  Complete System Power Estimation Using Processor Performance Events , 2012, IEEE Transactions on Computers.

[6]  Lei Yang,et al.  Accurate online power estimation and automatic battery behavior based power model generation for smartphones , 2010, 2010 IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).