Empowering developers to estimate app energy consumption
By Radhika Mittal, Aman Kansal, Ranveer Chandra. ACM/IEEE International Conference on Mobile Computing and Networking, 2012
299 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Human-Computer Interaction
View Paper: https://www.semanticscholar.org/paper/b4fafdf69d9cbef5461f15833461d21a52a27f32
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Ion Stoica
- Ramesh Govindan
- Shyamnath Gollakota
- William G. J. Halfond
- Sasu Tarkoma
- E. Lagerspetz
- Adam J. Oliner
- Anand Padmanabha Iyer
In Electrical and Electronic Engineering
- Vamsi Talla
- Bryce Kellogg
- Shyamnath Gollakota
- Joshua R. Smith
- Ding Li
- William G. J. Halfond
- Ramesh Govindan
- Ion Stoica
Citations in the corpus
- Estimating mobile application energy consumption using program analysis (2013, background): “Also complementary is recent work [14] that allows developers to estimate overall application energy usage using an emulator.”
- PASSIVE WI-FI: Bringing Low Power to Wi-Fi Transmissions (2016, background): “In our architecture, the passive Wi-Fi devices perform digital baseband operations like coding and modulation, while the power-consuming RF components such as frequency synthesizers and power amplifiers are delegated to a single plugged-in device in the network.”
- Carat: collaborative energy diagnosis for mobile devices (2013, background): “Some prior work has aimed to understand energy use by employing a combination of hardware, OS, and app source code or binary instrumentation [11, 23, 32, 44].”