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Software-Based Energy Profiling of Android Apps: Simple, Efficient and Reliable?
Di Nucci, Dario; Palomba, Fabio; Prota, Antonio et al.
2017In Proceedings of the 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017)
Peer reviewed
 

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Keywords :
Energy Consumption; Mobile Apps; Estimation
Abstract :
[en] Modeling the power profile of mobile applications is a crucial activity to identify the causes behind energy leaks. To this aim, researchers have proposed hardware-based tools as well as model-based and software-based techniques to approximate the actual energy profile. However, all these solutions present their own advantages and disadvantages. Hardware-based tools are highly precise, but at the same time their use is bound to the acquisition of costly hardware components. Model-based tools require the calibration of parameters needed to correctly create a model on a specific hardware device. Software-based approaches do not need any hardware components, but they rely on battery measurements and, thus, they are hardware-assisted. These tools are cheaper and easier to use than hardware-based tools, but they are believed to be less precise. In this paper, we take a deeper look at the pros and cons of software-based solutions investigating to what extent their measurements depart from hardware-based solutions. To this aim, we propose a software-based tool named PETRA that we compare with the hardware-based MONSOON toolkit on 54 Android apps. The results show that PETRA performs similarly to MONSOON despite not using any sophisticated hardware components. In fact, in all the apps the mean relative error with respect to MONSOON is lower than 0.05. Moreover, for 95% of the analyzed methods the estimation error is within 5% of the actual values measured using the hardware-based toolkit.
Disciplines :
Computer science
Author, co-author :
Di Nucci, Dario;  University of Salerno > Computer Science
Palomba, Fabio;  University of Salerno > Computer Science
Prota, Antonio;  University of Salerno > Computer Science
Panichella, Annibale ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Zaidman, Andy;  Delft University of Technology > EWI
De Lucia, Andrea;  University of Salerno > Computer Science
External co-authors :
yes
Language :
English
Title :
Software-Based Energy Profiling of Android Apps: Simple, Efficient and Reliable?
Publication date :
21 February 2017
Event name :
International Conference on Software Analysis, Evolution, and Reengineering
Event place :
Klagenfurt, Austria
Event date :
from 21-02-2017 to 24-02-2016
Audience :
International
Main work title :
Proceedings of the 24th IEEE International Conference on Software Analysis, Evolution, and Reengineering (SANER 2017)
Publisher :
IEEE
Peer reviewed :
Peer reviewed
Focus Area :
Security, Reliability and Trust
Available on ORBilu :
since 13 January 2017

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