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Re: [MirageOS-devel] Parallelizing writing to network devices




On 18/12/14 13:19, Thomas Leonard wrote:
On 17 December 2014 at 18:05, Masoud Koleini
<masoud.koleini@xxxxxxxxxxxxxxxx> wrote:
Thanks Thomas for the great tracing tool!

The following is a very simple unikernel with two interfaces, which
redirects frames captured on the first interface to the second one:

https://github.com/koleini/parallelisation

The problem is that in a high packet rate (more than 80'000 pps), switch
stops receiving. The goal is to spot the problem and enhance the throughput
of Mirage netif.

Test environment consists of another vm running a traffic generator and
sending frames of a specific pattern (UDP frames of size 100 bytes) over the
bridge that connects to the first interface of the unikernel. Unikernel
forwards frames by collecting a number of frames from input queue and
running the same number of threads that write them to the output interface.

Two trace files are uploaded to the repo. The first file is the output of
this configuration. This trace shows that each netif write locks until the
thread that writes on the front-end connection to the ring is returned
(function write_already_locked.)
Do these traces show it after it stopped? The second has a long sleep,
while the first looks like it was in the middle of a run.

If it had stopped in both cases, it suggests that the whole unikernel
stopped (not just the listen thread), because there are no more timer
interrupts and no sleep region.

Does "xl top" show the unikernel still using the CPU? Or it is
waiting, or crashed?

If you have a thread writing a string to the console once per second,
does it continue after unikernel stops accepting frames?
Yes, both are. It looks that I have more info on the traces with updated Mirage libraries. So, I updated the traces in the repo.

The unikernel is still working, as traces that periodically write info on the console are still working too.

With original configuration (netif unchanged), it looks that the reason is unikernel gets out of memory after some time, while error message is shown only in a few experiments. This is the main bottleneck for Mirage applications, which is waiting for a packet write to terminate is time consuming and doesn't allow high rate packet switching for network applications.

Modifying netif by ignoring the thread that is waiting for the result of writing to the ring is also problematic. So, any idea how to do bulk packet write on a network interface?


For the second trace, the return of the thread is ignored (commenting out
"lwt () = th in" in write_already_locked). This considerably increases
switching speed, but after some running time, it looks that after garbage
collection, similar problem happens.

Thomas and Anil, any idea from given traces, and how it is possible to make
the traces more informative?

Thanks.


On 28/11/14 16:55, Thomas Leonard wrote:
On 28 November 2014 at 16:24, Anil Madhavapeddy <anil@xxxxxxxxxx> wrote:
On 28 Nov 2014, at 16:03, Masoud Koleini
<masoud.koleini@xxxxxxxxxxxxxxxx> wrote:

Thanks Anil.

- graph the ring utilisation to see if it's always full (Thomas
Leonard's profiling patches should help here)
Would you please point me out to the profiling patches?
See:
http://roscidus.com/blog/blog/2014/10/27/visualising-an-asynchronous-monad/
The installation instructions here are for the previous version
(though they should still work). If you want to try the latest
version, the current Git mirage allows you to pass a ~tracing argument
to "register" in your config.ml, e.g.

let tracing = mprof_trace ~size:1000000 () in
register "myunikernel" ~tracing [
    main $ ...
]

This uses a newer version of the profiling API. You should generally
"opam pin" the #tracing2 branches rather than #tracing to use it.

Note also that it doesn't currently record ring utilisation, so you'll
still need to do some work to get that. You could use the
MProf.Counter interface, in which case the GUI will display it as a
graph over the trace.

- try to reduce the parallelisation to see if some condition there
alleviates the issue to track it down.
Reducing the maximum number of threads running in parallel reduced CPU
utilization, and vm was functioning for a much longer time, but the same
problem occurred at the end.

It might be more useful looking at the code. Please have a look at the
function "f_thread" in the file uploaded on the following repo:

https://github.com/koleini/parallelisation
That's a lot of code to try and distill down a test case.  Try to cut it
down significantly by building a minimal Ethernet traffic generator that
outputs frames with a predictable pattern in the frame, and a receiver that
will check that the pattern is received as expected.

Then you can try out your parallel algorithm variations on the simple
Ethernet sender/receiver and narrow down the problem without all the other
concerns.

Once the bug is tracked down, we can add the sender/receiver into
mirage-skeleton and use it as a test case to ensure that this functional
never regresses in the future.  Line rate Ethernet transmission has worked
in the past, but we never added a test case to ensure it stays working.

Anil
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reflect the views of the University of Nottingham.

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