JouleTrack: a web based tool for software energy profiling
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Tracking down software bugs using automatic anomaly detection
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PowerScope: A Tool for Profiling the Energy Usage of Mobile Applications
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Fine-grained energy profiling for power-aware application design
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Where is the energy spent inside my app?: fine grained energy accounting on smartphones with Eprof
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Application modes: a narrow interface for end-user power management in mobile devices
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Hypnos: understanding and treating sleep conflicts in smartphones
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Carat: collaborative energy diagnosis for mobile devices
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
WakeScope: runtime WakeLock anomaly management scheme for Android platform
Proceedings of the Eleventh ACM International Conference on Embedded Software
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We aim to detect and diagnose code misbehavior that wastes energy, which we call energy bugs. This paper describes a method and implementation, called Carat, for performing such diagnosis on mobile devices. Carat takes a collaborative, black-box approach. A non-invasive client app sends intermittent, coarse-grained measurements to a server, which identifies correlations between higher expected energy use and client properties like the running apps, device model, and operating system. Carat successfully detected all energy bugs in a controlled experiment and, during a deployment to 883 users, identified 5434 instances of apps exhibiting buggy behavior in the wild.