Types of data storages
|Working with data|
|File systems in MetaCentrum||
This page provides information about data storages offered by MetaCentrum, see File systems in MetaCentrum for advanced information about this topic.
Basic data storages overview
|Storage type||Basic description||Typical usage||Additional information|
|Scratch storages||Fast storages with minimum data capacity||Working with data during computations||Scratch storage|
|Disk arrays||/storage volumes in MetaCentrum||Data storing between compututions||Disk arrays|
|Hierarchical storages||Storages with massive data capacity||Data archiving||CESNET data care|
There are three data storages types offered by MetaCentrum:
Scratch storages are accessible via scratch directory on computational nodes. You should use this storages during your computations only. Data on scratch storages are automatically deleted after 14 days.
- Read Scratch storage for advanced information
Disk arrays contains many connected disks and files on them are stored on multiple disks, which guarantees higher I/O data speed and reliability. Use disk arrays for preparing data and storing data between jobs.
- Disk arrays are accessible via /storage directories, see Direct access to data storages for more infomation
Hierarchical storages contains several layers of storage media - lower layers have bigger capacity but slower access times. Data are moving among these layers based on their usage during recent times. The first layer is a disk array are other layers are made of MAIDs (Massive Array of Idle Drives) or magnetic tape libraries.
Use hierarchical storages for storing data which you do not currently use, but you may need them in the future.
- Read the CESNET data care page for more information