Documentation


Overview and Training Materials


Technical Documentation


Technical Diagrams


Data to Compute


In many existing enterprise and research deployments, HPC clusters are separated from long term data storage technologies. When data needs to be moved to HPC and back again, the Data to Compute design pattern can leverage metadata-driven workflows and automate the execution of an organization's data management policy.
Compute to Data


When data is stored in specific locations due to a requirement for specialized software or hardware or only because it is too big and expensive to move, compute requests can be routed to the appropriate location automatically. This metadata-driven computation design pattern could serve as a bridge until the time services are more fully containerized.
Metadata Templates


With metadata being a central part of how iRODS fosters best practices in workflows and provenance, it is also important to encourage good metadata curation. Metadata templates afford iRODS a friendly UI for specifying requirements, validation, and standardization.
Multipart Data Objects: Transfer


An effort to improve reliability and predictability of large file transfers in iRODS, multipart data objects will improve transport speeds (parallel and/or multisource), allow for cache-free object storage plugins, and provide natural support for reliable restarts.

User Group Meetings


Blog Posts


Communication with the iRODS Community


Common Citations (iRODS 4.x)

Hao Xu, Ben Keller, Antoine de Torcy, Jason Coposky (2016) QueryArrow: Bidirectional Integration of Multiple Metadata Sources. 8th iRODS User Group Meeting, University of North Carolina at Chapel Hill. June 2016. (PDF)

Reagan W. Moore, Hao Xu, Mike Conway, Arcot Rajasekar, Jon Crabtree, Helen Tibbo (2016) Trustworthy Policies for Distributed Repositories. 133pp. (publisher)

Hao Xu, Jason Coposky, Ben Keller, Terrell Russell (2015) Pluggable Rule Engine Architecture. 7th iRODS User Group Meeting, University of North Carolina at Chapel Hill. June 2015. (PDF)

Hao Xu, Jason Coposky, Dan Bedard, Jewel H. Ward, Terrell Russell, Arcot Rajasekar, Reagan Moore, Ben Keller, Zoey Greer (2015) A Method for the Systematic Generation of Audit Logs in a Digital Preservation Environment and Its Experimental Implementation In a Production Ready System. 12th International Conference on Digital Preservation, University of North Carolina at Chapel Hill. November 2-6, 2015. (PDF) (direct link)

Terrell Russell, Jason Coposky, Harry Johnson, Ray Idaszak, Charles Schmitt (2013) iRODS Composable Resources. 5th iRODS User Group Meeting, University of North Carolina at Chapel Hill. June 2013. (PDF)

Reagan Moore, Arcot Rajasekar, Hao Xu (2015) DataNet Federation Consortium Preservation Policy Toolkit. 12th International Conference on Digital Preservation, University of North Carolina at Chapel Hill. November 2-6, 2015. (PDF) (direct link)

Arcot Rajasekar, Terrell Russell, Jason Coposky, Antoine de Torcy, Hao Xu, Michael Wan, Reagan W. Moore, Wayne Schroeder, Sheau-Yen Chen, Mike Conway, Jewel H. Ward (2015) The integrated Rule-Oriented Data System (iRODS 4.0) Microservice Workbook. 248pp. (PDF) (amazon)

Presentations


Papers and White Papers