Home > Workload Solutions > High Performance Computing > White Papers > Enhance Availability of Storage Services with an NFS Storage System > Terminology
The following table provides definitions for some of the terms that are used in this document.
Term |
Definition |
AI |
Artificial Intelligence |
DTVD |
Dell Technologies Validated Design |
HA |
Highly Available |
HPC |
High Performance Computing |
NFS |
Network File System |
NSS |
NFS Storage Solution |
RHEL |
Red Hat Enterprise Linux |
VM |
Virtual Machines |
MDtest Argument |
Description |
-d testdir[@testdir2] |
The directory in which the tests will run. For multiple paths, it must use fully qualified pathnames. [default: working directory of mdtest]. |
-i iterations |
The number of iterations the test will run [default: 1] |
-b branching factor |
The branching factor of the hierarchical directory structure [default: 1]. |
-z tree depth |
The depth of the hierarchical directory tree [default: 0]. |
-L |
Files/directories only created at the leaf level of the tree. |
-I items_per_directory |
The number of items per directory in the tree [default: 0]. |
-y |
Sync the file to disk after writing. |
-u |
Create a unique working directory for each task (presumes -d option). |
-t |
Include unique working directory management overhead in the results (presumes -u option). |
As with the IOzone random access patterns, only one iteration is used per run and the following procedure must be followed to minimize cache effects during the metadata testing:
Metadata file and directory tests example (paths used may be different in your system)
# mpirun --allow-run-as-root --map-by node -np 16 --hostfile hostfile mdtest -d /mnt/hnss/mdtest -i 1 -b 20 -z 1 -L -I $NumFiles -y -u -t
Note: Benchmark results are highly dependent upon workload, specific application requirements, and system design and implementation. Relative system performance will vary as a result of these and other factors. Therefore, this workload should not be used as a substitute for a specific customer application benchmark when critical capacity planning and/or product evaluation decisions are contemplated.