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Did you mean:. Sign In. Ed Price. Published Dec 24 AM 1, Views. Lustre clusters contain four kinds of systems: File system clients, which can be used to access the file system.
Metadata servers MDSs , which manage the names and directories in the file system and store them on a metadata target MDT. Management servers MGSs , which work as master nodes for the entire cluster setup and contain information about all the nodes attached within the cluster.
Second node serves as the OSS. Third node serves as a client. Install Lustre 2. Install the RPM packages as follows: Install the kmod-lustre client package: yum install kmod-lustre-client See the Appendix Testing tools. Lustre file system performance tests To validate performance of the Lustre file system, we ran tests to measure maximum throughput and IOPs.
Because we tested the performance of storage nodes, the data was getting buffered in memory, not stored on the disk. As a result, we evaluated the file system without caching except when testing IOPs. Transfer size : In our testing, we set the transfer size to 32 MB to achieve maximum throughput, but results could vary in other environments.
This parameter controls the amount of data to be transferred each time for a process between memory and file. Count of parallel processes : To achieve maximum throughput and IOPs, we varied the number of total parallel processes for different storage nodes. We saw a maximum throughput of Sample MDTest output for client host with four processes Lustre evaluation Overall, system performance was good, but we noticed a few testing quirks.
Here are our observations and conclusions: Our best write throughput test was We executed test cases for a maximum of 20 storage nodes. When we scaled the nodes, we experienced a linear increase in throughout and IOPs as well. If you install Lustre manually, you must make sure to install the correct kernel version and all the updates.
If a kernel version changes after you install a version, other system software may be affected. For replication, load balancing, and failover, other tools are required. Lustre does not provide these features. During performance scaling tests, throughput and IOPs results were low at first. In the second benchmark testing pass, we saw better results with a linear increase in performance as the storage nodes were scaled.
When we used the IOR commands in our tests, sometimes the commands started to execute within a fraction of seconds. If the commands took more time to start, we saw performance issues. Some throughput test iterations resulted in below par performance numbers, but subsequent iterations yielded good results. To test performance scaling with IOPs, we used the -z parameter for random access, not sequential instead of the -B parameter for passing cache.
However, like the throughput commands, if the command took longer to start executing, we noticed that the IOPs also started decreasing. Tags: azurecat. Version history. Last update:. Updated by:. Education Microsoft in education Office for students Office for schools Deals for students and parents Microsoft Azure in education.
We also walked through the installation and configuration of each PVFS and compared the ease of setup. We hope this default configuration serves as a baseline you can refer to when designing and sizing a PVFS architecture on Azure that meets your needs.
We also show how to install the tools we used for performance testing, so you can try your own comparison tests.
All our tests were performed on Linux virtual machines on Azure. The test environment setup is shown in Figure 1. Figure 1. Simplified diagram of the test environment setup on Azure Although our team would have liked to do more comprehensive testing, our informal efforts clearly showed that performance tuning was the key to getting the best results.
Overall, performance scaled as expected as more nodes were added to the cluster. Table 1 compares the best throughput performances from our tests. Later sections of this document describe our processes and results in detail for each PVFS, but in general, the tests showed a linear performance gain as storage size in terabytes TB increased for all three PVFSs. We were not able to investigate every unusual result, but we suspect that the Lustre caching effect described later in this document boosted its test results.
The IOPs testing is based on a 4K transfer size with a random pattern and a 32 MB transfer size with a sequential pattern for the throughput bandwidth testing. We used default testing parameters without performance-tuning. Table 2 summarizes top-level deployments points. There are no RAID considerations.
BeeGFS replicates between high availability nodes automatically for the managed data. For more results, see the specific file system sections later in this document.
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