uabrc / uabrc/uabrc.github.io

Create explanatory model for new storage platforms

Open
#1,033 1 comment 0 reactions 1 assignee View on GitHub

@iam4tune is already working on this.

Since Jul 18, 2025.

system: cheaha 🖧 system: storage 🛢
Dominant language
Python
Stars
24
Forks
15
Avg merge
10d 3h
Merged PRs (30d)
1

Description

What would you like to see added?

The new storage platforms will have three parts. My current mental model is memory and storage in a computer, but we need to translate this for non-technical audiences.

  • What we call "GPFS" or "Cheaha Storage"
    • Has a component with the technical name GPFS. We can think of this as a cache that stores the most frequently used data.
    • Has a component with the technical name Ceph Pool. We can think of this as the system RAM.
    • Data is moved into the cache when it is used, and moved back to RAM when it has not been used recently, and something else takes its place.
    • Data coming from "RAM" to "cache" may take some time, causing a small amount of latency the first time the data is accessed. In most cases this shouldn't be an issue.
    • Transfers happen automatically.
    • We won't be doing manual transfers.
    • Data must be in the cache to be processed on Cheaha.
  • What we call "Long-Term Storage" or "LTS".
    • We can think of this as a hard drive. Data has to be moved from the hard drive into cache to be processed.
    • Transfers are not automatic and must be initiated by researchers intentionally.
    • Transfers can be partially automated as part of a processing pipeline or workflow.

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Assessment

This issue has not been assessed yet.

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.