[or-cvs] [metrics/master] Add sources for torperf report.
karsten at seul.org
karsten at seul.org
Wed Jul 1 21:29:33 UTC 2009
Author: Karsten Loesing <karsten.loesing at gmx.net>
Date: Wed, 1 Jul 2009 23:28:59 +0200
Subject: Add sources for torperf report.
Commit: ee8444cd51264d46d3245134daa19fac701d2338
---
HOWTO | 19 +
report/performance/connected.pdf | 3572 ++++++
report/performance/download.pdf | 1232 ++
report/performance/firstbyte.pdf | 1343 +++
report/performance/large-smoothed.pdf | 925 ++
report/performance/medium-smoothed.pdf | 2423 ++++
report/performance/small-smoothed.pdf |17326 +++++++++++++++++++++++++++++
report/performance/torperf-2009-07-01.pdf | Bin 0 -> 520559 bytes
report/performance/torperf.tex | 86 +
scripts/torperf/torperf.R | 152 +
10 files changed, 27078 insertions(+), 0 deletions(-)
create mode 100644 report/performance/connected.pdf
create mode 100644 report/performance/download.pdf
create mode 100644 report/performance/firstbyte.pdf
create mode 100644 report/performance/large-smoothed.pdf
create mode 100644 report/performance/medium-smoothed.pdf
create mode 100644 report/performance/small-smoothed.pdf
create mode 100644 report/performance/torperf-2009-07-01.pdf
create mode 100644 report/performance/torperf.tex
create mode 100644 scripts/torperf/torperf.R
diff --git a/HOWTO b/HOWTO
index efa072a..99d9656 100644
--- a/HOWTO
+++ b/HOWTO
@@ -266,6 +266,25 @@ $ java -cp bin/:lib/*
out/performance/
+4.2 torperf data
+-----------------
+
+Set up measurements as described in:
+
+https://svn.torproject.org/svn/torperf/trunk/measurements-HOWTO
+
+Put the resulting *.data files in a directory data/torperf/ .
+
+Run the R script:
+
+$ R -q --no-save < scripts/torperf/torperf.R
+
+Compile the PDF using pdflatex:
+
+$ cd report/performance/
+$ pdflatex torperf.tex # Run twice to update references
+
+
5 Entry-guard statistics
=========================
diff --git a/report/performance/connected.pdf b/report/performance/connected.pdf
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+++ b/report/performance/connected.pdf
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diff --git a/report/performance/torperf.tex b/report/performance/torperf.tex
new file mode 100644
index 0000000..3bbdd69
--- /dev/null
+++ b/report/performance/torperf.tex
@@ -0,0 +1,86 @@
+\documentclass{article}
+\usepackage{url}
+\usepackage[dvips]{graphicx}
+\usepackage{graphics}
+\usepackage{color}
+\usepackage{booktabs}
+\usepackage{multirow}
+\begin{document}
+\title{Measuring the Tor Network\\{\large Performance of Requests over the Tor Network}}
+\author{Karsten Loesing}
+\maketitle
+
+\begin{abstract}
+Many users perceive the general performance of the Tor network as rather slow. Little is known, though, about real-world measurements of latency and throughput of requests routed via the Tor network. Such measurements are required to evaluate the effectiveness of possible improvements. This report presents a simple measurement setup to gather response times of three different request sizes as well as the first 3 weeks of results between June 10 and July 1, 2009.
+\end{abstract}
+
+\section{Measurement Setup}
+
+The performance (latency and throughput) that Tor users experience depends on numerous factors and is the subject of current research.
+In order to evaluate progress in improving Tor's performance, we need to continuously measure how fast Tor really is for our users.
+The primary purpose of these measurements is to compare how performance evolves over time.
+This measurement setup uses a trivial SOCKS client to download files of various sizes over the Tor network and write down how long substeps take.
+The following configuration parameters are used:
+
+\begin{itemize}
+\item 50 KiB file, downloaded every 5 minutes, timeout of 4:55 minutes,\linebreak \texttt{MaxCircuitDirtiness} of 1 minute, no entry guards.
+\item 1 MiB file, downloaded every 30 minutes, timeout of 29:55 minutes, default \texttt{MaxCircuitDirtiness} of 10 minutes, no entry guards.
+\item 5 MiB file, downloaded every 60 minutes, timeout of 59:55 minutes, default \texttt{MaxCircuitDirtiness} of 10 minutes, no entry guards.
+\end{itemize}
+
+A more detailed howto describing the setup can be found here:\linebreak \url{https://tor-svn.freehaven.net/svn/torperf/trunk/measurements-HOWTO}
+
+\section{Results}
+
+The measured times include three data points: The first measured time is the time to connect to the website. This step requires Tor to select a pre-built circuit (or create one in rare cases) and send a \texttt{CONNECT} command to the exit node. As soon as the exit node replies with a \texttt{CONNECTED} cell, the connection to the website is established. Figure~\ref{fig:connected} shows boxplots\footnote{Boxplots, or box-and-whisker plots, visualize the distribution of a variable: The box part contains all values within the second and third quartile of the data set with the strong line being the median. The dashed lines contain non-outlier values in an interval of 1.5 times the inter-quartile range below the first quartile and the same distance above the third quartile. Outliers are depicted as circles.} of the connection times. The numbers in parentheses denote the total number of runs, the number of runs that timed out, and the number of outliers that did not fit into the graph. The distributions are similar, because the connection time can be assumed independent of the size of the requested file.
+
+\begin{figure}
+\centering
+\includegraphics[width=.75\textwidth]{connected.pdf}
+\caption{Time to connect to website}
+\label{fig:connected}
+\end{figure}
+
+The second measured time is the time between starting a request and receiving the first byte of the response. Figure~\ref{fig:firstbyte} shows these times for the three requested file sizes. Again, the distributions are very similar. The only explanation for deviations comes from the different request numbers.
+
+\begin{figure}
+\centering
+\includegraphics[width=.75\textwidth]{firstbyte.pdf}
+\caption{Time until receiving first response byte}
+\label{fig:firstbyte}
+\end{figure}
+
+The third measured time is the overall time to complete a request. These times include all steps from connecting to the website until having received all bytes of the response. Figure~\ref{fig:download} shows the distributions of these times. Obviously, there are huge differences in the completion times for the three requested file sizes.
+%
+Figures~\ref{fig:small-smoothed} to \ref{fig:large-smoothed} visualize the request completion times over the complete measurement interval. These graphs show the medians and the first and third quartile over time. For every run, the median and quartiles are calculated from 251 values, including the previous 125 data points, the following 125 data points, and the data point itself.
+
+\begin{figure}
+\centering
+\includegraphics[width=.75\textwidth]{download.pdf}
+\caption{Time to complete request}
+\label{fig:download}
+\end{figure}
+
+\begin{figure}
+\centering
+\includegraphics[width=.8\textwidth]{small-smoothed.pdf}
+\caption{Time to complete request (50 KiB request)}
+\label{fig:small-smoothed}
+\end{figure}
+
+\begin{figure}
+\centering
+\includegraphics[width=.8\textwidth]{medium-smoothed.pdf}
+\caption{Time to complete request (1 MiB request)}
+\label{fig:medium-smoothed}
+\end{figure}
+
+\begin{figure}
+\centering
+\includegraphics[width=.8\textwidth]{large-smoothed.pdf}
+\caption{Time to complete request (5 MiB request)}
+\label{fig:large-smoothed}
+\end{figure}
+
+\end{document}
+
diff --git a/scripts/torperf/torperf.R b/scripts/torperf/torperf.R
new file mode 100644
index 0000000..f727bf9
--- /dev/null
+++ b/scripts/torperf/torperf.R
@@ -0,0 +1,152 @@
+### Copyright 2007 Steven J. Murdoch, 2009 Karsten Loesing
+### See LICENSE for licensing information
+
+UFACTOR = 1e6
+
+## Subtract to timevals, maintaining precision
+todelta <- function(startsec, startusec, tsec, tusec) {
+ tsec[tsec == 0] <- NA
+ dsec <- tsec - startsec
+ dusec <- tusec - startusec
+ return(dsec*UFACTOR + dusec)
+}
+
+parsedata <- function(filename) {
+
+ t = read.table(filename, header=TRUE)
+
+ ## Make sure that the table has column names
+ if (is.null(t$startsec)) {
+ t <- read.table(filename, col.names=c("startsec", "startusec",
+ "socketsec", "socketusec", "connectsec", "connectusec",
+ "negotiatesec", "negotiateusec", "requestsec", "requestusec",
+ "responsesec", "responseusec", "datarequestsec", "datarequestusec",
+ "dataresponsesec", "dataresponseusec", "datacompletesec",
+ "datacompleteusec", "writebytes", "readbytes"))
+ }
+
+ tStart <- t$startsec*UFACTOR + t$startusec
+ dSocket <- todelta(t$startsec, t$startusec, t$socketsec, t$socketusec)
+ dConnect <- todelta(t$startsec, t$startusec, t$connectsec, t$connectusec)
+ dNegotiate <- todelta(t$startsec, t$startusec, t$negotiatesec, t$negotiateusec)
+ dRequest <- todelta(t$startsec, t$startusec, t$requestsec, t$requestusec)
+ dResponse <- todelta(t$startsec, t$startusec, t$responsesec, t$responseusec)
+ dDRequest <- todelta(t$startsec, t$startusec, t$datarequestsec, t$datarequestusec)
+ dDResponse <- todelta(t$startsec, t$startusec, t$dataresponsesec, t$dataresponseusec)
+ dDComplete <- todelta(t$startsec, t$startusec, t$datacompletesec, t$datacompleteusec)
+ cbWrite <- t$writebytes
+ cbRead <- t$readbytes
+
+ results <- data.frame(tStart, dSocket, dConnect,
+ dNegotiate, dRequest, dResponse,
+ dDRequest, dDResponse, dDComplete,
+ cbWrite, cbRead)
+
+ invalid <- t$datacompletesec == 0
+ results[invalid,] <- NA
+ invalid <- t$dataresponsesec == 0
+ results[invalid,] <- NA
+
+ return(results)
+}
+
+plotboxes <- function(small, medium, large, labels, title, ylim=c(NA,NA)) {
+ range <- 1.5
+ MinY <- ylim[1]
+ MaxY <- ylim[2]
+ ## Find how many points this will cause to be skipped
+ skipped <- c()
+ labels[1] <- paste(labels[1], " (", length(na.omit(small)), ", ", length(small) - length(na.omit(small)), ", ", length(small[small > MaxY]), ")", sep="")
+ labels[2] <- paste(labels[2], " (", length(na.omit(medium)), ", ", length(medium) - length(na.omit(medium)), ", ", length(medium[medium > MaxY]), ")", sep="")
+ labels[3] <- paste(labels[3], " (", length(na.omit(large)), ", ", length(large) - length(na.omit(large)), ", ", length(large[large > MaxY]), ")", sep="")
+ small[small > MaxY] <- NA
+ medium[medium > MaxY] <- NA
+ large[large > MaxY] <- NA
+
+ ## Plot the data
+ boxplot(small, medium, large, frame.plot=FALSE, axes=FALSE, ylab="Time (s)", range=range,
+ ylim=c(MinY, MaxY), xlab="Request size (# runs, # timeouts, # points omitted)", main=title,
+ pars=list(show.names=TRUE, boxwex = 0.8, staplewex = 0.5, outwex = 0.5))
+ axis(1, at=1:length(labels), labels=labels, lwd=0)
+ axis(2, las=1)
+}
+
+small <- parsedata("data/torperf/50kb.data")
+medium <- parsedata("data/torperf/1mb.data")
+large <- parsedata("data/torperf/5mb.data")
+
+pdf("report/performance/connected.pdf", width=8, height=5)
+par(mar=c(4.3,4.1,3.1,0.1))
+plotboxes(small[,6]/1e6, medium[,6]/1e6, large[,6]/1e6, c("50 KiB", "1 MiB", "5 MiB"), "Time to connect to website", c(0,30))
+dev.off()
+
+pdf("report/performance/firstbyte.pdf", width=8, height=5)
+par(mar=c(4.3,4.1,3.1,0.1))
+plotboxes(small[,8]/1e6, medium[,8]/1e6, large[,8]/1e6, c("50 KiB", "1 MiB", "5 MiB"), "Time until receiving first response byte", c(0,30))
+dev.off()
+
+pdf("report/performance/download.pdf", width=8, height=5)
+par(mar=c(4.3,4.1,3.1,0.1))
+plotboxes(small[,9]/1e6, medium[,9]/1e6, large[,9]/1e6, c("50 KiB", "1 MiB", "5 MiB"), "Time to complete request", c(0,300))
+dev.off()
+
+smoothened <- function(plotdata, data, size) {
+ windowsize <- 251
+ halfwindow <- (windowsize-1)/2
+ medians <- c()
+ q1s <- c()
+ q3s <- c()
+ for (i in 1:halfwindow) {
+ medians <- c(medians, NA);
+ q1s <- c(q1s, NA);
+ q3s <- c(q3s, NA)
+ }
+ for (i in (1+halfwindow):(length(plotdata)-halfwindow)) {
+ medians <- c(medians, median(plotdata[(i-halfwindow):(i+halfwindow)], na.rm=TRUE))
+ q1s <- c(q1s, quantile(plotdata[(i-halfwindow):(i+halfwindow)], probs=0.25, na.rm=TRUE))
+ q3s <- c(q3s, quantile(plotdata[(i-halfwindow):(i+halfwindow)], probs=0.75, na.rm=TRUE))
+ }
+ for (i in 1:halfwindow) {
+ medians <- c(medians, NA);
+ q1s <- c(q1s, NA);
+ q3s <- c(q3s, NA)
+ }
+ title <- paste("Time to complete request (", size, sep="")
+ t <- length(data$dDComplete[is.na(data$dDComplete)])
+ d <- na.omit(plotdata)
+ if (t>1)
+ title <- paste(title, ", ", length(d), " completed runs, ", t, " timeouts)", sep="")
+ else
+ title <- paste(title, ", ", length(d), " completed runs)", sep="")
+
+ plot(medians/1e6, ylim=c(min(na.omit(q1s/1e6)),max(na.omit(q3s/1e6))), lty=1, type="l", main=title, axes=FALSE, ylab="Time (s)", xlab="Date")
+ lines(q1s/1e6, lty=2)
+ lines(q3s/1e6, lty=2)
+
+ mtext("Q1", side=4, line=1, las=1, at=tail(na.omit(q1s), n=1)/1e6)
+ mtext("median", side=4, line=1, las=1, at=tail(na.omit(medians), n=1)/1e6)
+ mtext("Q3", side=4, line=1, las=1, at=tail(na.omit(q3s), n=1)/1e6)
+ ticks <- 1
+ for (i in 2:length(data$tStart))
+ if (!is.na(data$tStart[i]) && data$tStart[i] > (data$tStart[1] + length(ticks) * 7*24*60*60*1e6))
+ ticks <- c(ticks, i)
+ axis(1, at=c(ticks, length(data$tStart)), labels=c(format(as.POSIXct(data$tStart[ticks]/1e6, origin="1970-01-01", tz="GMT"), "%B %d"),
+ format(as.POSIXct(data$tStart[length(data$tStart)]/1e6, origin="1970-01-01", tz="GMT"), "%B %d, %Y")))
+ axis(2, las=1)
+}
+
+pdf("report/performance/small-smoothed.pdf", width=8, height=5)
+par(mar=c(4.3,4.1,2.1,4.1))
+smoothened(small$dDComplete, small, "50 KiB")
+dev.off()
+
+pdf("report/performance/medium-smoothed.pdf", width=8, height=5)
+par(mar=c(4.3,4.1,2.1,4.1))
+smoothened(medium$dDComplete, medium, "1 MiB")
+dev.off()
+
+pdf("report/performance/large-smoothed.pdf", width=8, height=5)
+par(mar=c(4.3,4.1,2.1,4.1))
+smoothened(large$dDComplete, large, "5 MiB")
+dev.off()
+
--
1.5.6.5
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