[tor-commits] [tech-reports/master] Add raw bufferstats report from 2009.

karsten at torproject.org karsten at torproject.org
Tue Aug 7 18:35:09 UTC 2012 

commit 912549eaaf70f476d928152e7f22aa420b723949
Author: Karsten Loesing <karsten.loesing at gmx.net>
Date:   Tue Aug 7 15:41:32 2012 +0200

    Add raw bufferstats report from 2009.
---
 2009/bufferstats/.gitignore          |    3 +
 2009/bufferstats/bufferstats.tex     |  183 ++
 2009/bufferstats/processed-cells.pdf | 3232 +++++++++++++++++++++++++++++++++
 2009/bufferstats/queued-cells.pdf    | 3236 ++++++++++++++++++++++++++++++++++
 2009/bufferstats/time-in-queue.pdf   | 3236 ++++++++++++++++++++++++++++++++++
 2009/bufferstats/total-cells.pdf     |  498 ++++++
 6 files changed, 10388 insertions(+), 0 deletions(-)

diff --git a/2009/bufferstats/.gitignore b/2009/bufferstats/.gitignore
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index 0000000..76bd910
--- /dev/null
+++ b/2009/bufferstats/.gitignore
@@ -0,0 +1,3 @@
+bufferstats.pdf
+bufferstats-2009-08-25.pdf
+
diff --git a/2009/bufferstats/bufferstats.tex b/2009/bufferstats/bufferstats.tex
new file mode 100644
index 0000000..2f5e260
--- /dev/null
+++ b/2009/bufferstats/bufferstats.tex
@@ -0,0 +1,183 @@
+\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 exit configuration,
+authority status, and operator name.
+
+\begin{table}
+\centering
+\caption{Relays measuring cell statistics}
+\label{tab:relays}
+\vspace{0.5cm}
+\begin{tabular}{lccl}
+\toprule
+Nickname & Exit & Authority & Operator\\
+\midrule
+echelon1 & yes & no & Karsten Loesing\\
+echelon2 & yes & no & Karsten Loesing\\
+ephemer2 & no & no & Steven J. Murdoch\\
+gabelmoo & no & yes & Karsten Loesing\\
+gonzales & no & no & Karsten Loesing\\
+hamsterrad & no & no & Karsten Loesing\\
+ides & no & yes & Mike Perry\\
+moria1 & no & yes & Roger Dingledine\\
+moria2 & no & yes & Roger Dingledine\\
+nottheNSA & yes & no & Andrew Lewman\\
+trusted & no & no & Jacob Appelbaum\\
+vallenator & no & 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,
+mostly depending on the relays' advertised bandwidth.
+
+\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 10,000 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}
+
+\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 27 cells in their queues in the
+mean, the 10--20\% loudest only up to 5, 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}
+
+\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, although there are exceptions to this trend.
+
+\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/2009/bufferstats/processed-cells.pdf b/2009/bufferstats/processed-cells.pdf
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