PowerTutor
PowerTutor is an application for Google phones that displays the power consumed by major system components such as CPU, network interface, display, and GPS receiver. The application allows software developers to see the impact of design changes on power efficiency. Application users can also use it to determine how their actions are impacting battery life. PowerTutor uses a power consumption model built by direct measurements during careful control of device power management states. This model generally provides power consumption estimates within 5% of actual values. A configurable display for power consumption history is provided. It also provides users with a text-file based output containing detailed results. You can use PowerTutor to monitor the power consumption of any application.
PowerTutor's power model was built using a HTC G1. It will run on other versions of the GPhone, but when used with phones other than the G1, power consumption estimates will be rough. We plan to provide power models for other phones in the future.
About Us
PowerTutor was developed by University of Michigan Ph.D. students Birjodh Tiwana and Lide Zhang under the direction of Robert Dick and Zhouqing Morley Mao at the University of Michigan and Lei Yang at Google. The work was supported in part by Google and the National Science Foundation (under award CNS-0720691), and was done in collaboration with the joint University of Michigan and Northwestern University Empathic Systems Project.
PowerTutor's power model was built using a HTC G1. It will run on other versions of the GPhone, but when used with phones other than the G1, power consumption estimates will be rough. We plan to provide power models for other phones in the future.
About Us
PowerTutor was developed by University of Michigan Ph.D. students Birjodh Tiwana and Lide Zhang under the direction of Robert Dick and Zhouqing Morley Mao at the University of Michigan and Lei Yang at Google. The work was supported in part by Google and the National Science Foundation (under award CNS-0720691), and was done in collaboration with the joint University of Michigan and Northwestern University Empathic Systems Project.
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