DocumentCode :
2388782
Title :
Decomposing power measurements for mobile devices
Author :
Rice, Andrew ; Hay, Simon
Author_Institution :
Comput. Lab., Univ. of Cambridge, Cambridge, UK
fYear :
2010
fDate :
March 29 2010-April 2 2010
Firstpage :
70
Lastpage :
78
Abstract :
Modern mobile phones are an appealing platform for pervasive computing applications. However, the complexity of these devices makes it difficult for developers to understand the power consumption of their applications. Our measurement framework is the first we have seen which can produce fine-grained, annotated traces of a phone´s power consumption and is designed to develop an understanding of how particular aspects of an application drive energy use. We are using our framework to analyse the power consumption of Android-based G1 and Magic handsets and show that particular choices of message size and send buffer can alter the energy required to send data by an order of magnitude in certain cases.
Keywords :
mobile computing; mobile handsets; power aware computing; Android-based G1 handset; Android-based Magic handset; mobile devices; power measurement decomposition; Application software; Energy consumption; Intelligent sensors; Laboratories; Mobile communication; Mobile handsets; Pervasive computing; Power measurement; Sensor phenomena and characterization; Telephone sets; energy measurement; mobile communication; power measurement; wireless LAN;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing and Communications (PerCom), 2010 IEEE International Conference on
Conference_Location :
Mannheim
Print_ISBN :
978-1-4244-5329-0
Electronic_ISBN :
978-1-4244-5328-3
Type :
conf
DOI :
10.1109/PERCOM.2010.5466991
Filename :
5466991
Link To Document :
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