HP StorageWorks Scalable File Share - Manual (Page 67)

Figure A-6 Multi-Client Throughput Scaling
In general, Lustre scales quite well with additional OSS servers if the workload is evenly
distributed over the OSTs, and the load on the metadata server remains reasonable.
Neither the stripe size nor the I/O size had much effect on throughput when each client wrote
to or read from its own OST. Changing the stripe count for each file did have an effect as shown
in
Figure A-7 .
Figure A-7 Multi-Client Throughput and File Stripe Count
Here, 16 clients wrote or read 16 files of 16 GB each. The first bars on this chart represent the
same data as the points on the right side of the previous graph. In the five cases, the stripe count
of the file ranged from 1 to 16. Because the number of clients equaled the number of OSTs, this
count was also the number of clients that shared each OST.
Figure A-7 shows that write throughput can improve slightly with increased stripe count, up to
a point. However, read throughput is best when each stream has its own OST.
A.3 Throughput Scaling 67