Power analysis of embedded software: a first step towards software power minimization
ICCAD '94 Proceedings of the 1994 IEEE/ACM international conference on Computer-aided design
PASTE '01 Proceedings of the 2001 ACM SIGPLAN-SIGSOFT workshop on Program analysis for software tools and engineering
A Universal Dynamic Trace for Linux and Other Operating Systems
Proceedings of the FREENIX Track: 2001 USENIX Annual Technical Conference
PowerScope: A Tool for Profiling the Energy Usage of Mobile Applications
WMCSA '99 Proceedings of the Second IEEE Workshop on Mobile Computer Systems and Applications
Power prediction for intel XScale® processors using performance monitoring unit events
ISLPED '05 Proceedings of the 2005 international symposium on Low power electronics and design
Self-tuning wireless network power management
Wireless Networks - Special issue: Selected papers from ACM MobiCom 2003
Powerful Change Part 1: Batteries and Possible Alternatives for the Mobile Market
IEEE Pervasive Computing
Fine-grained energy profiling for power-aware application design
ACM SIGMETRICS Performance Evaluation Review
Modeling the energy cost of applications on portable wireless devices
Proceedings of the 11th international symposium on Modeling, analysis and simulation of wireless and mobile systems
Virtual machine power metering and provisioning
Proceedings of the 1st ACM symposium on Cloud computing
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
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
Power Modeling and Optimization for OLED Displays
IEEE Transactions on Mobile Computing
| Hi-index | 0.00 |
I/O operations consume a significant portion of energy of an embedded system. To profile the energy consumption of I/O requests issued by a specific application helps developers to understand the energy consumption of the software and to further optimize the energy efficiency of the designs. However, most of the existing energy profiling tools concentrate on the energy consumption analyses of processors and memory, and provide limited supports to associate the energy consumption of an I/O device with high-level I/O function calls. In this paper, we propose and implement a generic framework, called energy profiling module (EPROM), which can estimate the energy consumption of I/O requests in application processes. The experimental results based on two typical I/O devices, i.e. WLAN and TFT-LCD, demonstrate that our proposed framework can provide accurate estimates on the energy consumption of I/O function calls and the errors between the estimation and measurement results are below 4%.