Working.
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Makefile
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Makefile
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export PYTEX=$(shell pwd)/pytex/
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START = noxxxnote nodraft noblue
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START = xxxnote nodraft noblue
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END = missing
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CLASS = $(PWD)/llncs.cls
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paper.tex
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paper.tex
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\documentclass{llncs}
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\usepackage{geometry}
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\usepackage{makeidx} % allows for indexgeneration
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\usepackage{graphicx}
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\usepackage{geometry,makeidx,graphicx,amssymb,color,url,subcaption}
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\usepackage[utf8]{inputenc}
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\usepackage{amssymb}
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\usepackage{color}
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\usepackage{url}
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\captionsetup{compatibility=false}
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\newcommand{\ask}[1]{\begin{center}
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\textcolor{blue}{\textbf{Question: } {#1}}
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@ -22,10 +18,11 @@ Lukasz Ziarek
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}
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\authorrunning{Kennedy et. al.}
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\institute{SUNY Buffalo; Buffalo, NY 14260; USA\\
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\institute{University at Buffalo; Buffalo, NY 14260; USA\\
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\email{\{okennedy,jerryant,challen,ziarek\}@buffalo.edu}\\
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Website: \texttt{http://odin.cse.buffalo.edu/research/}
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}
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\input{.xxxnote}
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\begin{document}
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@ -54,7 +54,8 @@ for f in files:
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inputs = inputs.findall(lines)
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real_inputs = []
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for possible_input in inputs:
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if os.path.splitext(possible_input)[1] == '':
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name, ext = os.path.splitext(possible_input)
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if name[0] != "." and ext == '':
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possible_input += '.tex'
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real_inputs.append(possible_input)
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toprocess += real_inputs
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@ -0,0 +1,45 @@
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\begin{figure*}[t]
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\begin{subfigure}[t]{0.33\textwidth}
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\includegraphics[width=\textwidth]{./graphs/activity/All_Devices__All_Apps__All_Queries__AllPreviousQueryCDFGraph.pdf}
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\caption{}
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\label{fig-overview-interarrival}
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\end{subfigure}%
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\begin{subfigure}[t]{0.33\textwidth}
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\includegraphics[width=\textwidth]{./graphs/activity/All_Devices__All_Apps__All_Queries__AllRuntimeCDFGraph.pdf}
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\caption{}
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\label{fig-overview-runtime}
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\end{subfigure}%
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\begin{subfigure}[t]{0.33\textwidth}
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\includegraphics[width=\textwidth]{./graphs/activity/All_Devices__All_Apps__All_Queries__AllRowcountCDFGraph.pdf}
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\caption{}
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\end{subfigure}%
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\caption{\textbf{Summary Statistics for Android SQLite Queries.}}
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\label{fig-overview}
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\end{figure*}
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Next, we look at overall workload characteristics of the queries observed
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during our study. We examine how often queries arrive, how long they run, and
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how many rows they return---all important inputs into desiging the TPC-Mobile
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embedded database benchmark.
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Figure~\ref{fig-overview} shows query interarrival times, run times, and
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returned row counts (for \texttt{SELECT} statements) for all users,
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applications, and non-informational query types (\texttt{SELECT},
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\texttt{UPDATE}, \texttt{INSERT}, \texttt{DELETE}) included in our dataset.
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Given that each mobile application is really generating an isolated workload
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to its own embedded database, we measure query interarrival time only between
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queries issued by the same application.
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Examining the interarrival times shown in
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Figure~\ref{fig-overview-interarrival}, it is interesting to observe that
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many queries seem to arrive much more quickly than the minimum query runtime
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shown in Figure~\ref{fig-overview-runtime}. Part of this may be due to apps
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that use multiple separate databases, which is not yet captured by our
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analysis. \XXXnote{However, our logging is also done above any locking
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performed by SQLite, and so this may demonstrate that there are many cases
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where multiple application threads are issuing overlapping queries in
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parallel.}
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