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feat: update references to gpfs after vast cut over
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paulstey committed Jun 29, 2023
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12 changes: 6 additions & 6 deletions storage-tool.yml
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- name: storage_warmth
class: hot

- name: research_data_storage
- name: oscar_storage
description: |
RData is a high-performance data storage system which is accessible from any computer connected from Brown's campus network, or from outside the network via ssh. It is backed up nightly on an incremental basis. What sets this option apart from the others is that it is directly connected to Brown’s primary supercomputer, “Oscar”, making computation easier. If you don’t intend to compute your data with Brown’s supercomputer, you may consider using Campus File Storage / Research instead. You could also use RData for computing and then move your results to Campus File Storage for greater accessibility, reliability, and protection.
Oscar storage is a high-performance data storage system which is accessible from any computer connected from Brown's campus network, or from outside the network via ssh. It is backed up nightly on an incremental basis. What sets this option apart from the others is that it is directly connected to Brown’s primary supercomputer, “Oscar”, making computation easier. If you don’t intend to compute your data with Brown’s supercomputer, you may consider using Campus File Storage instead. You could also use Oscar storage for computing and then move your results to Campus File Storage for greater accessibility, reliability, and protection.
- Synonyms: RDATA, GPFS, HPC Storage, Oscar Storage
- Synonyms: RData, HPC Storage, GPFS (historically)
- Best for: High performance storage of research data, perform computation on your data using Brown’s supercomputer
- Limitations: Not accessible on all campus networks.
- Rate: $100/TB/Year when storing above free/grant allocations
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[Hibernate](https://docs.ccv.brown.edu/hibernate/) is a secure, reliable, research data archive solution. Hibernate is a Brown OIT archival service for the research community to migrate inactive data off active Network-attached storage (NAS) platforms onto a lower cost, long-term retention environment.
* Hibernate leverages [StarFish](https://docs.ccv.brown.edu/starfish/) an application that provides a metadata and rules-based management framework for large file systems. StarFish makes storage tiering easy: moving data, reporting, zones.
* A zone is a virtual-volume or collection of branches across different file-systems (GPFS, Isilion, LRS etc.). Each PI group is distributed into an individual zone. A zone provides:
* A zone is a virtual-volume or collection of branches across different file-systems (Oscar storage, Isilion, LRS etc.). Each PI group is distributed into an individual zone. A zone provides:
* Types/sizes of files, access times
* Hot Spots (Growth, user(s)/Group(s)
* Action: Archive, Delete, Recover
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and writing. A "cold" data set is effectively never (or only _extremely_ rarely) accessed.
Cold storage is often referred to as "archival storage". So, cold storage solutions are most
appropriate when the analysis of the data is complete. That is, when you are done with
the data, but you are keeping the around because of either obligations from grants or
the data, but you are keeping them around because of either obligations from grants or
funding agencies, or just in case they are needed at some later time.
affected_category: storage_warmth
default_answer: Any
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category_classes:
- hot
- warm
- cold
- cold

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