Hi,
I have tested 3 kinds of distributed replica volume: 4 * 2, 3* 2 and 2*2. I suppose 4 * 2 should achieve the best IOPS, however, their performance seems similar.
I have tested with "dd if=/dev/zero of=/mnt/glusterfs/block8 bs=128M count=1" and "dd if=/dev/zero of=/mnt/glusterfs/block8 bs=32M count=8". All bricks are on virtual machines, with same hardware: 2 cores cpu, 8G memory.
The following is my volume configuration:
| Volume Name: rep4 |
| Type: Distributed-Replicate |
| Volume ID: b2ad2871-cfad-4f2c-afdb-38c2c4d6239c |
| Status: Started |
| Number of Bricks: 2 x 2 = 4 |
| Transport-type: tcp |
| Bricks: |
| Brick1: 192.168.16.145:/home/vagrant/rep4 |
| Brick2: 192.168.16.146:/home/vagrant/rep4 |
| Brick3: 192.168.16.82:/home/vagrant/rep4 |
| Brick4: 192.168.16.114:/home/vagrant/rep4 |
| Volume Name: rep6 |
| Type: Distributed-Replicate |
| Volume ID: 2cbcefce-da7a-4823-aee7-432c40f3ae55 |
| Status: Started |
| Number of Bricks: 3 x 2 = 6 |
| Transport-type: tcp |
| Bricks: |
| Brick1: 192.168.16.49:/home/vagrant/rep6 |
| Brick2: 192.168.16.114:/home/vagrant/rep6 |
| Brick3: 192.168.16.141:/home/vagrant/rep6 |
| Brick4: 192.168.16.145:/home/vagrant/rep6 |
| Brick5: 192.168.16.146:/home/vagrant/rep6 |
| Brick6: 192.168.16.82:/home/vagrant/rep6 |
| Volume Name: rep8 |
| Type: Distributed-Replicate |
| Volume ID: ea77934c-bd5d-4578-8b39-c02402d00739 |
| Status: Started |
| Number of Bricks: 4 x 2 = 8 |
| Transport-type: tcp |
| Bricks: |
| Brick1: 192.168.16.145:/home/vagrant/rep8 |
| Brick2: 192.168.16.146:/home/vagrant/rep8 |
| Brick3: 192.168.16.114:/home/vagrant/rep8 |
| Brick4: 192.168.16.82:/home/vagrant/rep8 |
| Brick5: 192.168.16.141:/home/vagrant/rep8 |
| Brick6: 192.168.16.49:/home/vagrant/rep8 |
| Brick7: 192.168.16.144:/home/vagrant/rep8 |
| Brick8: 192.168.16.112:/home/vagrant/rep8 |
According to "http://moo.nac.uci.edu/~hjm/Performance_in_a_Gluster_Systemv6F.pdf",
> To scale out performance, enterprises need simply add additional storage server nodes, and will generally see linear performance improvements.
I wonder how can I achieve linear performance improvements? Have I tested in the wrong way?
------------------
Regards,
Haoyuan Ge
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