| Author(s): |
Rahul Murmuria; Jeffrey Medsger; Angelos Stavrou; Jeffrey M. Voas; |
| Title: |
Mobile Application Device Power Usage Measurements |
| Published: |
July 31, 2012 |
| Abstract: |
Reducing power consumption has become a crucial design tenet for both mobile and other small computing devices that are not constantly connected to a power source. However, unlike devices that have a limited and predefined set of functionality, recent mobile smart phone devices have a very rich set of components and can handle multiple general purpose programs that are not a-priori known or profiled. In this paper, we present a general methodology for collecting measurements and modelling power usage on smart phones. Our goal is to characterize the device subsystems and perform accurate power measurements. We implemented a system that effectively accounts for the power usage of all of the primary hardware subsystems on the phone: CPU, display, graphics, GPS, audio, microphone, and Wi-Fi. To achieve that, we make use of the per-subsystem time shares reported by the operating system's power-management module. We present the models capability to further calculate the power consumption of individual applications given measurements, and also the feasibility of our model to operate in real-time and without significant impact in the power footprint of the devices we monitor. |
| Conference: |
2012 IEEE Sixth International Conference on Software Security and Reliability (SERE'12) |
| Proceedings: |
Proceedings of the IEEE's Sixth International Conference on Software Security and Reliability (SERE'12) |
| Pages: |
pp. 147 - 156 |
| Location: |
Gaithersburg, MD |
| Dates: |
June 20-22, 2012 |
| Keywords: |
smartphones, app power measurement, malicious app behavior |
| Research Areas: |
Computer Security, Cybersecurity, Information Delivery Systems, Information Technology |
| DOI: |
10.1109/SERE.2012.19 (Note: May link to a non-U.S. Government webpage) |
| PDF version: |
 Click here to retrieve PDF version of paper (354KB) |
