Hello Alec,

I’ve committed my work on TRex parameters tuning.
Please let me know if you have any question and if you want me to add 
documentation in the RST files.

I added also some response inline ☺

Regards,

Francois Regis Menguy
francoisregis.men...@orange.com<mailto:francoisregis.men...@orange.com>


De : Alec Hothan (ahothan) [mailto:ahot...@cisco.com]
Envoyé : vendredi 18 janvier 2019 16:32
À : MENGUY Francois Regis TGI/OLN
Cc : opnfv-tech-discuss@lists.opnfv.org
Objet : Re: [opnfv-tech-discuss] #nfvbench Add TRex parameters to tune 
performance and allocate ressources

Inline…

From: "francoisregis.men...@orange.com<mailto:francoisregis.men...@orange.com>" 
<francoisregis.men...@orange.com<mailto:francoisregis.men...@orange.com>>
Date: Tuesday, January 15, 2019 at 1:24 AM
To: "Alec Hothan (ahothan)" <ahot...@cisco.com<mailto:ahot...@cisco.com>>
Cc: 
"opnfv-tech-discuss@lists.opnfv.org<mailto:opnfv-tech-discuss@lists.opnfv.org>" 
<opnfv-tech-discuss@lists.opnfv.org<mailto:opnfv-tech-discuss@lists.opnfv.org>>
Subject: RE: [opnfv-tech-discuss] #nfvbench Add TRex parameters to tune 
performance and allocate ressources

In fact we had the case with a shared platform during NFVBench tool testing. 
Ressources such as huge page were completely used by one TRex instance, we were 
unable to start other NFVBench instance on same compute node.

[alec]
Yes that is correct, I believe this is actually a behavior if the DPDK library 
used by Trex.
The only workaround I know of is to artificially limit the number of huge pages 
available on the box before starting Trex.

[françois]
limit_memory property permit to limit huge pages consumption by TRex process


So possible use cases :

-          Operation: measurement with simultaneous background traffic

-          Dev: multiple simultaneous tests for dev or config tuning purposes

In addition, even if we were on docker container, NFVBench process connect to 
first TRex process even if it is in another docker container, so localhost IP 
is not efficient to prevent connecting to another TRex instance from another 
previous NFVBench process.

[alec]
This might be because you start your container in network host mode 
(--net=host), can you try to start in the default bridge mode (just remove 
–net=host)

[françois]
I have try without this docker property but still the issue


I will test with cgroups if I reproduced the case.

Our test on huge pages and platform parameters configuration for TRex 
subprocess were OK on our side without impact on global server configuration as 
far as I can see.


[alec]

Cool!

[françois]
I was not able to use correctly cgroups for our use cases. Only my work on TRex 
properties working as expected for me.


BR,

   Alec


Regards,

Francois Regis Menguy
francoisregis.men...@orange.com<mailto:francoisregis.men...@orange.com>

De : Alec Hothan (ahothan) [mailto:ahot...@cisco.com]
Envoyé : samedi 12 janvier 2019 18:53
À : MENGUY Francois Regis TGI/OLN
Cc : 
opnfv-tech-discuss@lists.opnfv.org<mailto:opnfv-tech-discuss@lists.opnfv.org>
Objet : Re: [opnfv-tech-discuss] #nfvbench Add TRex parameters to tune 
performance and allocate ressources


That is an interesting use case although we need to make clear that running 
multiple instances on the same server will likely not provide linear 
performance increase.
Can you provide more information about your concurrency target? I.e. how many 
instances are you planning to run and on what hardware resources (RAM, cores, 
NIC)?

Regarding resource partitioning easiest would be to take advantage of 
containerization (cgroups) with the goal of being able to run multiple 
instances of the nfvbench container (each running the nfvbench orchestration 
and 1 instance of trex).
This should take care of the nfvbench to trex communication which stays 
internal to each container instance (the 127.0.0.1 subnet is specific to each 
container instance - so no need to have different zmq ports as they will run on 
distinct subnets - to be confirmed)

The externally visible resources across container instances would still need to 
be solved through container parameters:
•         Nfvbench REST service port - already supported (if used)
•         Trex NIC and ports selection – already supported in nfvbench config
•         Huge pages configuration in Trex might require some tweaking and 
impact the server overall huge page configuration
•         Platform latency and master thread id, socket and threads - we will 
need to check with the trex team how to work out core partitioning across 
containers

Thanks

   Alec





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