2. DDN & iRODS at ICBR By Alex Oumantsev

3. History of ICBR  Campus wide Interdisciplinary Center for Biotechnology Research  Core Facility  Funded by the state of Florida in 1987  On average 58 staff 22% faculty 45% full time staff 33% postgrad

4. Current Cores at ICBR  Bioinformatics  Cytometry  Electron Microscopy  Gene Expression & Genotyping  Monoclonal Antibody  NextGen DNA Sequencing  Proteomics & Mass Spectrometry  Sanger Sequencing

5. Diverse Environment  Over 400 services provided  Multiple diverse platforms  Diverse user base  Varying analysis pipelines  Wide range of data  Growing data set sizes

6. Computational Challenges  Data storage  Data processing  Data delivery

7. Current Computational Environment  Several storage silos with NFS/SMB ~600TB  Mix of 10 and 1 GbE  Various size compute systems ~ 1000 cores  Workstations connected over 1GbE

8. Current Storage  Segmented  Slow  Not high availability

9. Current Data Delivery Methods  Hardware encrypted USB drives  University provided file transfer service 5GB max single file size  Client personal USB drives for self service instruments  Various unsupported options…

10. iRODS at ICBR  Set up a system that can store all instrument data  Maintain archive of all of the instrument data  Check out data for analysis  Check results back in  Manage permissions  Electronic Data delivery

11. DDN at ICBR  Rapid growth of instrument output dataset size  SFA 12KXE Fast and scalable storage Ability to run custom images on storage GPFS Ability to run some compute tasks directly on storage High availability

12. iRODS on DDN  Scalable, high performance, high availability  Set up iRODS on the VMs that run on SFA 12KXE  All of the VMs see common storage namespace  A pool of iRODS resource servers running on the VMs Each has full view of the namespace Microservices take advantage of built in compute  Use SSD from the SFA 12KXE to store iCAT Run on MySQL Cluster edition Prevents single point of failure Distributed for performance

13. iRODS on DDN VM-0 iRODSiDORPiCATGPFSSFA Driver VM-1 iRODSiDORPiCATGPFSSFA Driver VM-2 iRODSiDORPiCATGPFSSFA Driver VM-3 iRODSiDORPiCATGPFSSFA Driver RAID DISK RAID DISK RAID SSD RAID SSD

14. iRODS at ICBR  Automated instrument data and metadata ingestion into iRODS Set up most used instruments Set up new instruments as they arrive  Provide download link to clients via some LIMS  Create custom Web front end Uniform look Data portal with identical interface for all of the Cores Custom views supporting mobile platforms  Have option to transfer client data to other University compute Resources