DocumentCode :
159743
Title :
On Power and Energy Consumption Modeling for Smart Mobile Devices
Author :
Ferroni, Matteo ; Cazzola, Andrea ; Trovo, Francesco ; Sciuto, Donatella ; Santambrogio, Marco D.
Author_Institution :
Dipt. di Elettron., Politec. di Milano, Milan, Italy
fYear :
2014
fDate :
26-28 Aug. 2014
Firstpage :
273
Lastpage :
280
Abstract :
In nowadays life, mobile phones are becoming a cheaper and smaller alternative to laptops for simple, everyday tasks. They experienced an astonishing growth in functionalities and, because of their constant presence in our life, mobile phones became fundamental for the interaction with information coming from the environment. Nevertheless, their resources are limited, both in terms of performance and power, and their availability can greatly vary over time. Especially when dealing with power consumption, mobile devices cannot disregard environment conditions and user habits. Both internal and external conditions are rapidly changing and may influence the response of the entire system, e.g., switching between network types may causes an unpredictable power consumption. In order to puzzle out all these issues, we regard the definition of a power/energy model for mobile devices as a first mandatory step. In literature, several attempts to do so are present, basing their approaches on techniques coming from different computer science fields. They differ in the way they consider hardware components, in the operating system they are suitable for and in the scope of their tests and experiments. Within this paper, we categorize techniques presented in the major works in the field, in order to be able to compare different methods, highlight open issues and give suggestions on future works.
Keywords :
operating systems (computers); power aware computing; smart phones; computer science; energy consumption; external conditions; hardware components; internal conditions; mobile phones; operating system; power consumption; power-energy model; smart mobile devices; Adaptation models; Analytical models; Batteries; Computational modeling; Data models; Mobile handsets; Power demand; Introductory; Theory; mobile devices; models; power; survey;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Embedded and Ubiquitous Computing (EUC), 2014 12th IEEE International Conference on
Conference_Location :
Milano
Type :
conf
DOI :
10.1109/EUC.2014.47
Filename :
6962297
Link To Document :
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