Update sources for latest buffer stats report.

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.

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}{lccccl}

\begin{tabular}{lccl}

\toprule

 & \multicolumn{3}{c}{Bandwidth (KiB/s)} &\\ 

Nickname & Rate & Burst & MaxAdv & Exit & Operator\\

Nickname & Exit & Authority & 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\\

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}

\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.

The graph shows that the number of circuits varies from relay to relay,

mostly depending on the relays' advertised bandwidth.

\begin{figure}

\centering

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

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.

\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

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 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.

\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

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.

spend in queues, although there are exceptions to this trend.

\begin{figure}

\centering