Feasibility study and early experimental results towards cluster survivability
Bibliographic record
Abstract
This paper propounds an investigation, a feasibility study, and performance benchmarking of vital management elements for critical enterprise and HPC infrastructure. We propose concepts of integrating high availability cluster mechanism with a secure cluster infrastructure. Our proposed architecture incorporates the distributed security infrastructure (DSI) framework, an open source project providing secure infrastructure for carrier grade clusters, and HA-OSCAR, an open source cluster framework that meets the reliability, availability, serviceability (RAS) needs. The result is a cluster infrastructure that is compliant with the reliability, availability, serviceability and security (RASS) principles. We conducted an initial feasibility study and experiment to gauge issues and the degree of success in the implementation of our proposed RASS framework. We verified the integration of HA-OSCAR release 1.0 and DSI release 0.3. Although there was a minimal performance overhead, having "RASS" in mission critical settings by far outweighs the performance impact. We plan to further our proof-of-concept architecture to suit the required needs on the production environments.
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.
How this classification was reachedexpand
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 | 0.001 | 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 | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".