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Storage usage policy: Difference between revisions
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based on a calendar month. For detailed information please consult the ''Entgeltordnung''. | based on a calendar month. For detailed information please consult the ''Entgeltordnung''. | ||
This step is neccessary to motivate users to free up diskspce if the project will be inactive for a while. If users do not remove data for inactive projects, the project report has to justify why budget has been used for stroge usage. | This step is neccessary to motivate users to free up diskspce if the project will be inactive for a while. If users do not remove data for inactive projects, the project | ||
report has to justify why budget has been used for stroge usage. Please be aware large | |||
amount of data may reduce the budget significantly. | |||
== Related links == | == Related links == |
Revision as of 11:14, 14 December 2017
This page describes how to handle data within HLRS computing environment.
Please be aware, storage resources are optimized for a particular usage. For example work space filesystems are tuned for bandwidth of large parallel IO operations. This requires lots of components like disks, controllers, network connections, ... and makes it expensive. To get the maximum benefit for all users, following extra short guidelines should be read.
Important Notice! No Backup on any filesystem. Please copy important data into the archive.
Following filesystems are available:
- Home Directory - this storage type is available on all compute resources within HLRS network. Users should store e.g. profiles, script files for workflow tasks, sources for program development... But do not use this dircetory for number crunching (especially on large parallel) jobs!
- The workspace - here users jobs read / write large amount of data. IO has to be optimized to get considerable performance (e.g. use of optimized IO libraries), if unsure, please feel free to contact your project supervisor.
- TMP directory. On almost all compute hosts, this is an "in-memory" filesystem, used for small temporary files. All data will be removed at the end of the job. Each node has its own TMP directory, not shared with other nodes, fast but small.
- HPSS - mid term storage system, here users are able to keep permanent data and save a copy of important data as a user defined backup. Please be aware, this sort of storage system can't handle large number of small files well.
Usage guidelines for workspace filesystems
- The workspace filesystems are expensive resources, only data which is necessary for the ongoing work should be held within this directories. It is NOT a place for permanent (mid or long term) storage.
- If a project is suspended for a while, users have to free the disk space. Data could be transfered into the HPSS storage system
- Storge resources are overcommitted, this means the disk quota is not equal to grant of storage space. (This is also true for compute resources)
- If the group's quota has a high usage (currently > 80 %) the performance of the filesystem degrades significantly for all users, to avoid this slowdown, NO Jobs of those groups are scheduled to run. All group members (with a registered e-mail address) will be notified by e-mail
- Performance optimization is important, e.g. small size IO operations kill performance. Following bandwidth is possible for well optimized applications.
File System | Host | Max. Performance |
---|---|---|
WS7 | Hazel Hen | ~75 GB/s |
WS8 | Hazel Hen | ~75 GB/s |
WS9 | Hazel Hen | ~200 GB/s |
WS2 | laki cluster | 6 GB/s |
- How to use the tools for managing work space directories is explained here .
Accounting of workspace
On May 2018 accountig will be changed to respect disk usage. The project budget will be charged by
ressource usage = max ( compute ressource usage, storage usage )
based on a calendar month. For detailed information please consult the Entgeltordnung.
This step is neccessary to motivate users to free up diskspce if the project will be inactive for a while. If users do not remove data for inactive projects, the project report has to justify why budget has been used for stroge usage. Please be aware large amount of data may reduce the budget significantly.