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* research LTS Isilon storage
This is slow storage for archiving data which can be purchased from the IT&DI department through [Topdesk](https://topdesk.lumc.nl). Once purchased this storage will be NFS v4 mounted on all the execution/gpu/mem nodes on the cluster with read only access, on the login nodes you wil have read and write access. The deafult mountpoint will be **/exports/archive/<storage-share-name>**. Access to this mountpoint is handeld by an Active Directory group. The default mount access rights are set by an Ansible playbook. To grant users access to this share you need to have them added to the Active Directory group attached to the share. To find out which group is attached to your data storage use the following command `ls -aldh /exports/archive/<storage-share-name> | awk '{print $4}'`
* BeeGFS
BeeGFS is a parallel file system, created within the LUMC with 4 Virtual Macines (* vcpus and 32G memory), each have a 5TB unity storage attached. Each Virtual Machine is connected with a 10Gb ethernet to the Shark slurm cluster. The 4 VMs with the 5TB storage creates a total of 20TB BeeGFS storage mounted on **/scratch/shared/**.
BeeGFS is a parallel file system, created within the LUMC with 4 Virtual Macines (8 vcpus and 32G memory), each have a 5TB unity storage attached. Each Virtual Machine is connected with each a 10GbE network to the Shark slurm cluster. The 4 VMs with the 5TB storage creates a total of 20TB BeeGFS storage mounted on **/scratch/shared/**.
This BeeGFS is faster compared to the HPC Isilon if you have a lot of small files and do a lot of read write operations.
This storage is a so called scratch space, everyone can use this BeeGFS scratch space for **staging** your data. Please **do not** use this scratch space for **storage**.
This storage is a so called **scratch space**, everyone can use this BeeGFS scratch space for **staging** your data. Please **do not** use this scratch space for **storage**.
The HPC Isilon and the LTS Isilon are for storage, the BeeGFS is only for staging.
Staging your data is a normal procedure on large clusters.
Howto Stage your data:
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