Merge branch 'master' of ssh://blue.cse.buffalo.edu/papers/hotmobile15-numerator

Geoffrey Challen
2 parents 48c0427b 92797bf3
Showing 4 changed files with 8 additions and 21 deletions
introduction.tex
paper.tex
references.bib
related.tex
@@ -6,9 +6,13 @@ referring to energy usage and \textit{usage} exclusively when referring to
 user interaction with the device or apps.} on mobile devices is close to
 being a solved problem, due to the great strides made in both generating and
 validating energy models that can deliver accurate runtime energy consumption
-estimates~\cite{vedge-nsdi13} and in accurately attributing energy
+estimates~\cite{mansdi, vedge-nsdi13} and in accurately attributing energy
 consumption---even for asynchronous and shared
-resources~\cite{cinder-eurosys11,osdi08-quanto}. Accurate energy models bring
+resources~\cite{cinder-eurosys11,osdi08-quanto}. 
+Previous work on component-based power modelling~\cite{dong2011, zhang2010, 
+jung2012} has mapped energy consumption to system-components like cpu, wifi chip, screen etc. 
+On the other hand, efforts like Eprof~\cite{pathak2011,pathak2012}, AppScope~\cite{yoon} traces system calls and monitors kernel activities to answer how much energy is consumed in an application level.
+Accurate energy models bring
 us one step close to the goal of effective energy management on smartphones
 and other battery-constrained mobile devices, while also providing developers
 with useful feedback as they build their mobile apps.
@@ -58,7 +58,7 @@ Anudipa Maiti and Geoffrey Challen\\
 \input{usage.tex}
 \input{metric.tex}
 \input{results.tex}
-\input{related.tex}
+%\input{related.tex}
 \input{conclusion.tex}
@@ -598,23 +598,6 @@ pages = {1-14},
 address = {New York, NY, USA},
 } 
-@inproceedings{xunsdi,
- author = {Xu, Fengyuan and Liu, Yunxin and Li, Qun and Zhang, Yongguang},
- title = "{V-edge: Fast Self-Constructive Power Modeling of Smartphones Based
- on Battery Voltage Dynamics}",
- booktitle = {Proceedings of the 10th USENIX conference on Networked Systems
- Design and Implementation},
- series = {nsdi'13},
- year = {2013},
- location = {Lombard, IL},
- pages = {43--56},
- numpages = {14},
- url = {http://dl.acm.org/citation.cfm?id=2482626.2482633},
- acmid = {2482633},
- publisher = {USENIX Association},
- address = {Berkeley, CA, USA},
-}
-
 @inproceedings{mansdi,
 author = {Ma, Xiao and Huang, Peng and Jin, Xinxin and Wang, Pei and Park,
 Soyeon and Shen, Dongcai and Zhou, Yuanyuan and Saul, Lawrence K. and
@@ -15,7 +15,7 @@ On the other hand, efforts like Eprof~\cite{pathak2011,pathak2012}, AppScope~\ci
 There has also being an impressive body of work to provide accurate energy measurement techniques
 like by using either external hardware~\cite{carroll,
 cignetti} or device-provided, built-in mechanisms such as smart
-battery interfaces and voltage information~\cite{mansdi, xunsdi}.
+battery interfaces and voltage information~\cite{mansdi, vedge-nsdi13}.
 But there has been no work as per our knowledge about identifying how much energy is consumed in providing
 utility to the user. There exists a gap in our understanding what part of energy consumption by an app is 
 necessary to provide useful content to the user and what part of it is lost in inefficiency.