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[or-cvs] [metrics/master] Add report on cells in circuit queues.
Author: Karsten Loesing <karsten.loesing@xxxxxxx>
Date: Mon, 27 Jul 2009 02:25:34 +0200
Subject: Add report on cells in circuit queues.
Commit: 479ca34df2fbf064cf98b64d93ac5b2264598755
---
HOWTO | 32 ++-
report/buffer/bufferstats-2009-05-25.pdf | Bin 0 -> 89972 bytes
report/buffer/bufferstats-2009-07-27.pdf | Bin 0 -> 80339 bytes
report/buffer/bufferstats.tex | 196 +++++++
report/buffer/processed-cells.pdf | 531 ++++++++++++++++++++
report/buffer/queued-cells.pdf | 527 +++++++++++++++++++
report/buffer/time-in-queue.pdf | 527 +++++++++++++++++++
report/buffer/total-cells.pdf | 223 ++++++++
report/performance/bufferstats-2009-05-25.pdf | Bin 89972 -> 0 bytes
scripts/buffer/cellstats.R | 49 ++
.../metrics/buffer/EvaluateCellStats.java | 91 ++++
11 files changed, 2174 insertions(+), 2 deletions(-)
create mode 100644 report/buffer/bufferstats-2009-05-25.pdf
create mode 100644 report/buffer/bufferstats-2009-07-27.pdf
create mode 100644 report/buffer/bufferstats.tex
create mode 100644 report/buffer/processed-cells.pdf
create mode 100644 report/buffer/queued-cells.pdf
create mode 100644 report/buffer/time-in-queue.pdf
create mode 100644 report/buffer/total-cells.pdf
delete mode 100644 report/performance/bufferstats-2009-05-25.pdf
create mode 100644 scripts/buffer/cellstats.R
create mode 100644 src/org/torproject/metrics/buffer/EvaluateCellStats.java
diff --git a/HOWTO b/HOWTO
index 095c213..76972bb 100644
--- a/HOWTO
+++ b/HOWTO
@@ -305,8 +305,8 @@ $ java -cp bin/:lib/* org.torproject.metrics.entry.ParseEntryStats
data/entrystats/ out/entrystats/
-6 Exit port statistics
-======================
+6 Exit port statistics
+=======================
Put the exit-stats file coming from one exit node containing one or more
days of measurements with possibly different exit policies in a directory
@@ -330,3 +330,31 @@ The four parameters are:
3. a comma-separated list of identities of the measuring relay, and
4. the output directory.
+
+7 Cell statistics
+==================
+
+Put the buffer-stats files in a directory data/buffer/ , renaming them to
+the relay names that shall appear in the output graphs.
+
+$ make data/
+$ make data/buffer/
+
+Compile the evaluation application:
+
+$ javac -d bin/ -cp src/:lib/* src/org/torproject/metrics/buffer/*.java
+
+Run the evaluation application:
+
+$ java -cp bin/:lib/* org.torproject.metrics.buffer.EvaluateCellStats
+ data/buffer/ out/buffer/
+
+Run the R script:
+
+$ R --no-save -q < scripts/buffer/cellstats.R
+
+Compile the PDF using pdflatex:
+
+$ cd report/buffer/
+$ pdflatex torperf.tex # Run twice to update references
+
diff --git a/report/buffer/bufferstats-2009-05-25.pdf b/report/buffer/bufferstats-2009-05-25.pdf
new file mode 100644
index 0000000000000000000000000000000000000000..a23eb77d0bc3db39572a7843a4622890e21cfb34
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diff --git a/report/buffer/bufferstats.tex b/report/buffer/bufferstats.tex
new file mode 100644
index 0000000..ff987c9
--- /dev/null
+++ b/report/buffer/bufferstats.tex
@@ -0,0 +1,196 @@
+\documentclass{article}
+\usepackage[dvips]{graphicx}
+\usepackage{graphics}
+\usepackage{color}
+\usepackage{booktabs}
+\usepackage{multirow}
+\begin{document}
+\title{Analysis of Circuit Queues in Tor}
+\author{Karsten Loesing}
+\maketitle
+
+\section{Background on queues and buffers in Tor}
+
+Whenever a relay receives a cell, this cell is appended to the outbound
+queue of the corresponding circuit.
+As soon as there is room in the outgoing buffer of the connection to the
+next relay in the circuit, the cell is removed from the queue and the cell
+body is written to that buffer.
+The bytes reside in the outgoing connection buffers until they can be sent
+over the TLS socket to the previous or next relay in the client's circuit.
+Multiple circuits can share the same connection, so that the cells of
+multiple queues can be waiting to be written to a single outgoing buffer.
+
+This analysis focuses on circuits and the cells that are kept in their
+queues, rather than on connections to other relays and bytes waiting in
+their buffers.
+Possible changes to circuit queues include reducing queue lengths to reduce
+the latency of sending cells and changing the scheduling of processing
+cells competing for the same connection.
+Future analyses might also focus more on connections.
+
+The graphs in this report are based on statistics gathered by a few relays
+starting on July 20, 2009.
+Table~\ref{tab:relays} lists the relays including their bandwidth
+configurations and exit policies.
+
+\begin{table}
+\centering
+\caption{Relays measuring cell statistics}
+\label{tab:relays}
+\vspace{0.5cm}
+\begin{tabular}{lccccl}
+\toprule
+ & \multicolumn{3}{c}{Bandwidth (KiB/s)} &\\
+Nickname & Rate & Burst & MaxAdv & Exit & Operator\\
+\midrule
+echelon1 & 400 & 1024 & -- & no & Karsten Loesing\\
+echelon2 & 400 & 1024 & -- & no & Karsten Loesing\\
+ephemer2 & 90 & -- & -- & no & Steven J. Murdoch\\
+gabelmoo & 1024 & 1250 & 500 & no & Karsten Loesing\\
+hamsterrad & 100 & 500 & -- & no & Karsten Loesing\\
+moria1 & -- & -- & 10 & no & Roger Dingledine\\
+nottheNSA & 100 & 200 & -- & yes & Andrew Lewman\\
+TorTeamHelp & 750 & 1500 & -- & yes & Jonathan Rippstein\\
+vallenator & 2100 & 4000 & -- & no & Hans Schnehl\\
+\bottomrule
+\end{tabular}
+\end{table}
+
+\section{Format of measured data}
+
+The data format of the graphs in this report is as follows:
+
+\begin{verbatim}
+written 2009-07-25 00:24:27 (86400 s)
+processed-cells 5978,223,56,22,9,5,5,4,3,1
+queued-cells 5.40,0.60,0.03,0.01,0.00,0.00,0.00,0.00,0.00,0.01
+time-in-queue 1919,1838,127,116,124,99,47,58,111,447
+number-of-circuits-per-share 15351
+\end{verbatim}
+
+Every 24 hours, these five lines are appended to a local file. The
+\texttt{written} line contains the end time of the measurement interval as
+well as the interval length in seconds.
+The \texttt{processed-cells} line contains the number of processed cells by
+deciles in descending order from loudest to quietest circuits.
+The \texttt{queued-cells} line denotes the mean number of cells contained
+in queues of the circuit deciles.
+The \texttt{time-in-queue} line contains the mean time that cells spend in
+circuit queues in milliseconds.
+Finally, \texttt{number-of-circuits-per-share} states how many circuits are
+included in every decile.
+
+\section{Total number of circuits}
+
+The first data set that can be visualized from the statistics is the number
+of circuits that can be derived from the
+\texttt{number-of-circuits-per-share} line.
+Figure~\ref{fig:totalnumbers} shows the number of circuits over time
+periods of 24 hours.
+The graph shows that the number of circuits varies from relay to relay
+depending on their bandwidth and exit policy.
+
+\begin{figure}
+\centering
+\includegraphics[width=\textwidth]{total-cells}
+\caption{Total number of circuits per day}
+\label{fig:totalnumbers}
+\end{figure}
+
+\section{Classification of circuits by processed cells}
+
+The total number of circuits does not reflect how loud or quiet these
+circuits are.
+Therefore, circuits are classified by the number of cells that they have
+processed as written in the \texttt{processed-cells} line.
+Figure~\ref{fig:processed} shows the classification result:
+the loudest 10\% of all circuits have pushed more than 5,000 cells in the
+mean, the quietest 10\% only a single cell.
+The monotonic decrease in this graph can be explained from the definition
+of louder circuits processing more cells than quieter ones.
+
+\begin{figure}
+\centering
+\includegraphics[width=\textwidth]{processed-cells}
+\caption{Mean number of processed cells per circuit}
+\label{fig:processed}
+\end{figure}
+
+There are two noticeable lines in the graph.
+The loudest 10\% of the circuits on \texttt{TorTeamHelp} and
+\texttt{moria1} have processed far fewer cells than the loudest circuits in
+all other relays.
+Possible explanations are that \texttt{TorTeamHelp} is running a patch that
+reduces the circuit window size from 1000 cells to 100 cells and that
+\texttt{moria1} is a directory authority advertising a bandwidth of only 10
+KB/s.
+
+\section{Queued cells by circuit loudness}
+
+Even though it is interesting to learn about the classification of circuits
+by their loudness, there is not much to be changed or improved.
+Whether or not a circuit is loud depends only on the usage behavior.
+It is questionable if this behavior can be changed (for example by
+discouraging high-volume applications), and if so, only in the long term.
+
+The mean number of queued cells as a function of circuit loudness is a more
+interesting metric here.
+These numbers are contained in the \texttt{queued-cells} line.
+Figure~\ref{fig:queued} shows these numbers over the measurement interval
+of 24 hours.
+The loudest 10\% of all circuits have up to 12 cells in their queues in the
+mean, the 10--20\% loudest only up to 1, and so on.
+The intuition is that louder circuits have (and should have) their cells
+queued for a bit while quieter circuits have their cells delivered quickly
+rather than waiting in queues.
+
+\begin{figure}
+\centering
+\includegraphics[width=\textwidth]{queued-cells}
+\caption{Mean number of cells in queues}
+\label{fig:queued}
+\end{figure}
+
+Interestingly, both \texttt{TorTeamHelp} and \texttt{vallenator} have
+almost 0 cells waiting in circuit queues, even for the loudest 10\% of the
+circuits.
+
+\section{Mean time cells spend in queue}
+
+The mean time that cells spend in circuit queues is probably the most
+important metric here.
+This waiting time directly contributes to the latency that users
+experience.
+It would be good to have a short latency for the quieter circuits.
+Figure~\ref{fig:timeinqueueavg} shows the mean time of cells by circuit
+deciles.
+The general trend is that the quieter the circuits are, the less time cells
+spend in queues.
+Again, \texttt{TorTeamHelp} and \texttt{vallenator} exhibit very low
+waiting times.
+
+\begin{figure}
+\centering
+\includegraphics[width=\textwidth]{time-in-queue}
+\caption{Mean time that cells spend in circuit queues}
+\label{fig:timeinqueueavg}
+\end{figure}
+
+\section{Conclusion}
+
+This analysis has shown a few characteristics of circuit queues in Tor.
+Results include total numbers of processed cells, a classification of
+circuits by the number of processed cells, the mean number of cells in
+queues, and the mean time that cells spend in circuit queues.
+If possible, the waiting times for the quieter circuits should be reduced,
+even at the cost of increasing the waiting time for the loudest circuits.
+The rationale is that the loudest circuits do not use Tor for low-latency
+applications anyway, but for high-volume applications.
+The result would be that Tor becomes more attractive for interactive
+applications.
+This analysis permits measurement of the effectiveness of design changes in
+the future.
+
+\end{document}
+
diff --git a/report/buffer/processed-cells.pdf b/report/buffer/processed-cells.pdf
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diff --git a/scripts/buffer/cellstats.R b/scripts/buffer/cellstats.R
new file mode 100644
index 0000000..3908bf3
--- /dev/null
+++ b/scripts/buffer/cellstats.R
@@ -0,0 +1,49 @@
+c <- read.csv("out/buffer/cell.csv", header=TRUE)
+y <- 1; j <- 1; for (i in 2:length(c$nickname)) { if (c$nickname[i-1] == c$nickname[i]) y <- c(y, j) else { j <- j + 1; y <- c(y, j) } }
+colors <- rainbow(max(y))[y]
+
+pdf("report/buffer/total-cells.pdf", height=5, width=8)
+oldpar <- par(mar=c(0.4, 4, 0, 0))
+barplot(c$num/100, col=colors, ylab="Number of circuits in thousands", axes=FALSE, border="white")
+axis(2, las=1)
+legend(x=length(c$nickname)/2+2, xjust=0.5, y=max(c$num)/100, fill=rainbow(max(y)), unique(c$nickname), bty="n", ncol=2)
+par(oldpar)
+dev.off()
+
+pdf("report/buffer/processed-cells.pdf", height=5, width=8)
+oldpar <- par(mar=c(4, 4, 0, 0))
+plot(as.vector(c[2,3:12], mode="numeric"), type="n", log="y", frame=FALSE, axes=FALSE, ylab="Number of processed cells on log scale", xlab="Circuit decile from loudest to quietest")
+axis(1, at=seq(1, 10, 1))
+axis(2, las=1)
+for (i in 1:length(c$date)) {
+ lines(as.vector(c[i,3:12], mode="numeric"), col=colors[i], lwd=2)
+}
+legend(x=5.5, xjust=0.5, y=max(c[,3:12]), inset=0, x.intersp=0.5, y.intersp=0.85, fill=rainbow(max(y)), unique(c$nickname), bty="n", ncol=2)
+par(oldpar)
+dev.off()
+
+pdf("report/buffer/queued-cells.pdf", height=5, width=8)
+oldpar <- par(mar=c(4, 4, 0, 0))
+plot(as.vector(c[2,13:22], mode="numeric"), type="n", frame=FALSE, axes=FALSE, ylim=c(0, max(c[,13:22])), ylab="Mean number of queued cells over circuit lifetime", xlab="Circuit decile from loudest to quietest")
+axis(1, at=seq(1, 10, 1))
+axis(2, las=1)
+for (i in 1:length(c$date)) {
+ lines(as.vector(c[i,13:22], mode="numeric"), col=colors[i], lwd=2)
+}
+legend(x=5.5, xjust=0.5, y=max(c[,13:22]), inset=0, x.intersp=0.5, y.intersp=0.85, fill=rainbow(max(y)), unique(c$nickname), bty="n", ncol=2)
+par(oldpar)
+dev.off()
+
+pdf("report/buffer/time-in-queue.pdf", height=5, width=8)
+oldpar <- par(mar=c(4, 4, 0, 0))
+max(c[,23:32])/1e3
+plot(seq(1,10,1), type="n", frame=FALSE, axes=FALSE, ylim=c(0, max(c[,23:32])/1e3), ylab="Time in seconds", xlab="Circuit decile from loudest to quietest")
+axis(1, at=seq(1, 10, 1))
+axis(2, las=1)
+for (i in 1:length(c$date)) {
+ lines(as.vector(c[i,23:32], mode="numeric")/1e3, col=colors[i], lwd=2)
+}
+legend(x=5.5, xjust=0.5, y=max(c[,23:32])/1e3, inset=0, x.intersp=0.5, y.intersp=0.85, fill=rainbow(max(y)), unique(c$nickname), bty="n", ncol=2)
+par(oldpar)
+dev.off()
+
diff --git a/src/org/torproject/metrics/buffer/EvaluateCellStats.java b/src/org/torproject/metrics/buffer/EvaluateCellStats.java
new file mode 100644
index 0000000..9829a8e
--- /dev/null
+++ b/src/org/torproject/metrics/buffer/EvaluateCellStats.java
@@ -0,0 +1,91 @@
+/* Copyright 2009 Karsten Loesing
+ * See LICENSE for licensing information */
+package org.torproject.metrics.buffer;
+
+import java.io.*;
+import java.text.*;
+import java.util.*;
+
+public final class EvaluateCellStats {
+
+ private EvaluateCellStats() {
+ }
+
+ public static void main(final String[] args) throws Exception {
+
+ if (args.length != 2) {
+ System.err.println("Usage: java "
+ + EvaluateCellStats.class.getSimpleName()
+ + " <cell-stats directory> <output directory>");
+ System.exit(1);
+ }
+ File cellStatsDirectory = new File(args[0]);
+ if (!cellStatsDirectory.exists()
+ || !cellStatsDirectory.isDirectory()) {
+ System.err.println("Cell stats directory '"
+ + cellStatsDirectory.getAbsolutePath()
+ + "' does not exist or is not a directory.");
+ System.exit(1);
+ }
+ File outputDirectory = new File(args[1]);
+ if (outputDirectory.exists() && !outputDirectory.isDirectory()) {
+ System.err.println("Output directory '"
+ + outputDirectory.getAbsolutePath()
+ + "' exists, but is not a directory.");
+ System.exit(1);
+ }
+ outputDirectory.mkdir();
+
+ long started = System.currentTimeMillis();
+ SortedSet<String> outLines = new TreeSet<String>(
+ new Comparator<String>() {
+ public int compare(String a, String b) {
+ return a.compareToIgnoreCase(b);
+ }
+ });
+ Stack<File> filesLeftToParse = new Stack<File>();
+ filesLeftToParse.push(cellStatsDirectory);
+ while (!filesLeftToParse.isEmpty()) {
+ File directoryOrFile = filesLeftToParse.pop();
+ if (directoryOrFile.isDirectory()) {
+ for (File fileInDir : directoryOrFile.listFiles()) {
+ filesLeftToParse.push(fileInDir);
+ }
+ continue;
+ }
+ BufferedReader br = new BufferedReader(new FileReader(
+ directoryOrFile));
+ String line = null;
+ StringBuilder out = new StringBuilder();
+ while ((line = br.readLine()) != null) {
+ if (line.startsWith("written")) {
+ out.append(directoryOrFile.getName() + "," + line.split(" ")[1]
+ + " " + line.split(" ")[2]);
+ } else if (line.startsWith("processed-cells ")) {
+ out.append("," + line.split(" ")[1]);
+ } else if (line.startsWith("queued-cells ")) {
+ out.append("," + line.split(" ")[1]);
+ } else if (line.startsWith("time-in-queue ")) {
+ out.append("," + line.split(" ")[1]);
+ } else if (line.startsWith("number-of-circuits-per-share ")) {
+ out.append("," + line.split(" ")[1] + "\n");
+ outLines.add(out.toString());
+ out = new StringBuilder();
+ }
+ }
+ }
+
+ BufferedWriter bw = new BufferedWriter(new FileWriter(new File(
+ outputDirectory.getAbsolutePath() + File.separatorChar
+ + "cell.csv"), false));
+ bw.write("nickname,date,p0,p1,p2,p3,p4,p5,p6,p7,p8,p9,q0,q1,q2,q3,q4,"
+ + "q5,q6,q7,q8,q9,t0,t1,t2,t3,t4,t5,t6,t7,t8,t9,num\n");
+ for (String outLine : outLines) {
+ bw.write(outLine);
+ }
+ bw.close();
+ System.out.println("Evaluation finished after "
+ + (System.currentTimeMillis() - started) / 1000 + " seconds.");
+ }
+}
+
--
1.5.6.5