Capo: recapitulating storage for virtual desktops
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Shared storage underlies most enterprise VM deployments because it is an established technology that administrators are familiar with and because it good job of protecting data. However, shared storage is also very expensive to scale. This paper describes Capo 1, a transparent and persistent block request proxy for virtual machine disk images. Capo reduces the load on shared storage by using local disks as persistent caches, using multicastbased preloading to broadcast read results across a cluster, and by imposing differential durability – dividing a VM’s file system into regions of varying writeback frequency. We motivate the system’s design through the analysis of a week-long trace of 55 production virtual desktops and then describe and evaluate our implementation. Capo is particularly well suited for virtual desktop deployments, in which large numbers of VMs boot from a small number of “gold master ” images and are refreshed on a periodic basis. 1
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it