[Bloat] [Codel] Python scripts from ns-3-dev GitHub repo

[Andrew McGregor]

Ok, so multirun.py runs a whole set of experiments.  The various commented
bits of code around line 85 give ways to do ranges of options in several
different ways.  The options are just passed as text to tcp_qfp.cc.  It
runs experiment cases in parallel, one for each core in your machine.

That will produce a huge number of files, with names that tell you which
experiment they belong to and which nodes in the topology they were
collected from.  Then you can analyse them.

burstmemoryestimators.py is a graphing routine that gives you a whole lot
of information about what happened in each run.  It opens the ptrace files
left by the experiment (passed as an argument, you want a file called
something like tcp_qfp-1-11-Left.pcap if there were 10 nodes in your
experiment), and calculates a bunch of statistics: packet interarrival time
(blue dots), burstiness metric (red) and queue markov memory metric (green).

The burstiness metric runs from -1 (periodic) through 0 (Poisson process)
to +1 (1/f noise).

The memory metric is zero if the queue is perfectly memoryless, and
non-zero proportional to how much memory it has.  Thus it shows the queue's
contribution to interarrival time statistics.  Note that a queue is
memoryless both if it is empty OR if it is completely full, and this metric
is signed (negative if the queue is draining).

It only makes sense to run this script on a leaf link; if there is more
than one flow, the estimators will not track flows separately and thus will
not make sense.


On Wed, Jan 30, 2013 at 11:21 PM, Igor Maravić <igorm at etf.rs> wrote:

> Hi Andrew,
>
> I'm trying to use useful python scripts from ns-3-dev GitHub repo, but
> unsuccessfully.
>
> Could you provide some usage cases on how they should be used?
>
> BR
> Igor
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