This is veering somewhat off tangent for the freebsd-net list, but...
On 04/23/2015 21:15, Karlis Laivins wrote:
Hello once again,
Before I dive in the TEACUP, I wanted to clarify this - should I build the
testbed to consist of FreeBSD machines, will I be able to use congestion
control module (.ko) that was created by modifying the cc_newreno (written
in C) in TEACUP, or will I have to rewrite it in Python?
Short answer: TEACUP doesn't implement CC algorithms per se. It focuses on
controlling all the data generation & capture tools, end hosts and bottleneck
to start/log/stop TCP performance tests using whatever CC algorithm you select. You
will need to copy-paste-edit about 5 lines of TEACUP's python code so TEACUP will
recognise and kldload your new module on your FreeBSD end hosts.
For the long answer -- ping me offlist.
Sorry, if this question seems silly, but I have limited time to do the
tests and I want to be sure that I don't have to redo something in a
language that I haven't used yet.
TEACUP takes a bit of time to set up the end hosts and bottleneck router with
the right tools. But once you have it running you'll be able to iterate across
a range of TCP and path parameters quite efficiently.
cheers,
gja
Thank you in advance for your answer!
With Best Regards,
Karlis
On Thu, Apr 23, 2015 at 12:45 PM, grenville armitage <garmit...@swin.edu.au>
wrote:
On 04/23/2015 17:17, Karlis Laivins wrote:
Hi,
I am currently working on a modification of TCP NewReno congestion control
algorithm. It seems that I have been able to write a working module.
Now, I am looking for a way to test the performance of the built-in
congestion control algorithms and the new algorithm. I have heard about
the
NS-2 simulator, and I am trying to compile and configure it now, but
that's
just a statistical tool (from what I hear) and the results are far from
reality (please correct me, if I am wrong).
Please recommend a tool or way I can test the performance of the
congestion
control algorithm in a "real" environment (sender side - 2 Computers, one
connected to the wireless network, other to a wire, receiver - one PC,
running FTP server, both senders each sending a big file at the same
time).
I would like to get comparable performance results from each of the
existing congestion control algorithm as well as the new one I have
created
by modifying the NewReno algorithm.
Thank you in advance for your assistance.
Lars is right, the ns-2 tangent is starting to diverge from freebsd-net@
Indeed, I would suggest you don't bother with ns-2 -- it wont help you do
meaningful comparisons to a kernel-resident cc module you develop under
FreeBSD.
If you have the time and inclination to build a small testbed using a
couple of physical hosts, you might find this tool useful --
http://caia.swin.edu.au/tools/teacup
My colleague and I built TEACUP (TCP Experiment Automation Controlled
Using Python) to automate many aspects of running TCP performance
experiments in our small, specially-constructed physical testbed. TEACUP
enables repeatable testing of different TCP algorithms over a range of
emulated network path conditions, bottleneck rate limits and bottleneck
queuing disciplines. (e.g. I've used it to experiment with custom FreeBSD
CC modules vs conventional FreeBSD and Linux CC algorithms.)
A key caveat: TEACUP assumes your physical testbed is a
multi-host/single-bottleneck dumbbell-like topology with suitably
configured end hosts and Linux-based bottleneck router (see
http://caia.swin.edu.au/reports/150210C/CAIA-TR-150210C.pdf for an
example). TEACUP does not try to run experiments over arbitrary network
paths or the wider Internet. This has satisfied our use-cases, other
people's mileage may vary :-)
We've released TEACUP in case it may be useful to other researchers who
already have (or are interested in setting up) similar network testbeds.
(Small note -- we recently found a small bug in some of the v0.9 data
analysis code, which will be fixed when v0.9.2 comes out RSN.)
cheers,
gja
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--
Professor Grenville Armitage
Centre for Advanced Internet Architectures
School of Software and Electrical Engineering
Faculty of Science, Engineering and Technology
Swinburne University of Technology, Australia
http://caia.swin.edu.au/cv/garmitage
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