Skip navigation
Please use this identifier to cite or link to this item: http://arks.princeton.edu/ark:/88435/dsp01k930c0352
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorMartonosi, Margaret-
dc.contributor.authorBanevicius, Gabrielius-
dc.date.accessioned2015-06-26T15:28:22Z-
dc.date.available2015-06-26T15:28:22Z-
dc.date.created2015-05-04-
dc.date.issued2015-06-26-
dc.identifier.urihttp://arks.princeton.edu/ark:/88435/dsp01k930c0352-
dc.description.abstractPower profiling for Android devices is a field that has seen much growth in recent years, because of the importance of writing power efficient code for smartphones. However, developers still lack a tool to allow them to easily attribute power at the granularity of the function level. This work aims at providing a tool which allows developers to combine a log of function execution with online power estimates to produce an interactive, easy to understand tool for attributing power consumption to individual functions in an application. While our tool failed to achieve some of the key goals it aimed at, hopefully it will provide motivation for a faster, more robust tool for attributing power consumption to Android functions.en_US
dc.format.extent36 pagesen_US
dc.language.isoen_USen_US
dc.titleMethod-Level Power Estimation in Android Devicesen_US
dc.typePrinceton University Senior Theses-
pu.date.classyear2015en_US
pu.departmentComputer Scienceen_US
pu.pdf.coverpageSeniorThesisCoverPage-
Appears in Collections:Computer Science, 1988-2020

Files in This Item:
File SizeFormat 
PUTheses2015-Banevicius_Gabrielius.pdf3.99 MBAdobe PDF    Request a copy


Items in Dataspace are protected by copyright, with all rights reserved, unless otherwise indicated.