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|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|
|Dates:||June 20-22, 2012|
|Keywords:||smartphones, app power measurement, malicious app behavior|
|Research Areas:||Information Technology, Computer Security, Cybersecurity, Information Delivery Systems|
|DOI:||http://dx.doi.org/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 (362KB)|