We are sharing gfs2 partition through samba
to three hundred clients aprox.
Partition GFS2 is mounted in two nodes of
cluster.
Clients can boot in linux and windows.
There is one share for home folder, another
for profiles, another for shared applications and
data: there is 5 shares.
Also, did you mount with noatime, nodiratime?
Yes, I'm mounting with these options.
Jordi Renye
LCFIB - UPC
El 22/07/2011 12:32, Steven Whitehouse escribió:
Hi,
On Fri, 2011-07-22 at 12:08 +0200, Jordi Renye wrote:
Hi,
We have configured redhat cluster RHEL 6.1 with two nodes.
We have seen that performance of GFS2 on writing is
half of ext3 partition.
For example, time of commands:
time cp -Rp /usr /gfs2partition/usr
0.681u 47.082s 7:01.80 11.3% 0+0k 561264+2994832io 0pf+0w
whereas
cp -R /usr /ext3partition/usr
0.543u 24.041s 4:16.86 9.5% 0+0k 2728584+3166184io 2pf+0w
With ping_pong tool from Samba.org we've got next results:
Los resultados son los siguientes:
ping_pong /gfs2partition/pingpongtestfile 3
1582 locks/sec
With ping_pong test r/w:
ping_pong -rw /gfs2partition/pingpongtestfile 3
data increment = 2
4 locks/sec
Do you think we can get better performance? Do you think
are "normal" and "good" results ?
Which recommendations do you tell us to get better performance?
For example, we don't have a heartbeat network exclusively, but
we have only one networks interface for application network and cluster
network.
Could we get better performance with one dedicated cluster network( for
dlm,heartbeath,...).
Thanks in advanced,
It depends what you are trying to optimise for... what is the actual
application that you want to run?
cp doesn't use fcntl locks to the best of my knowledge, so I doubt that
will have any particular effect on the performance. Also it would be
quite unusual for fcntl locks to have any effect on the performance of
the fs as a whole.
Usually the most important factor is how the workload is balances
between nodes. Also, did you mount with noatime, nodiratime?
Steve.
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Jordi Renye Capel
o o o Tècnic de Sistemes N1
o o o Laboratori de Càlcul
o o o Facultat d'Informàtica de Barcelona
U P C Universitat Politècnica de Catalunya - Barcelona Tech
E-mail : jordir@xxxxxxxxxxx
Tel. : 16943
Web : http://www.fib.upc.edu/
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