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README.md
generate-queue.py
generate-rates.py
plot-queue.py
plot-rate.py
plot-sequence.py
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rate.png
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README.md

TCP Plotting using Python

This code shows some examples of how to create plots that demonstrate the effectiveness of a TCP implementation. The plots are:

  • rate.png : Shows the rate of the TCP connection over time. The rate is smoothed by summing all the bytes received over a 1 second window, then sliding this window in 0.1 second increments.

  • queue.png: Shows the queue size of a router over time. Dropped packets are plotted with an "X" symbol at the maximum queue size plus 1.

  • sequence.png: Shows a sequence number plot over time. A square box is plotted at each (time,sequence) pair, and a dot is plotted at each (time,acknumber) pair. The sequence numbers are divided by 1500 to convert bytes to packets, and modded by 50 to wrap the graph horizontally.

Generation scripts

  • generate-rates.py
  • generate-queue.py

These generate the rates.txt and queue.txt files, respectively. This is artificial data to mimic traces from a TCP implementation and a router. The resulting data is not intended to be accurate but to show how the plotting works.

Plotting scripts

  • plot-rate.py
  • plot-queue.py
  • plot-sequence.py

These generate the graphs described above, using the data files created by the generation scripts.

Installation Requirements

hese examples require the installation of matplotlib. You can easily install this using:

sudo apt-get install python-pip
sudo pip install matplotlib

If you wish to use a virtual environment instead, then use the following to create and activate a virtual environment with the required packages.

sudo apt-get install python-pip
sudo pip install virtualenv
mkdir ~/virtualenvs
virtualenv ~/virtualenvs/plotting
source ~/virtualenvs/plotting/bin/activate
pip install -r requirements.txt