Система миграции виртуальных серверов в режиме реального времени
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
1. Sudakov O. O., Boyko Yu. V., Tretyak O. V., Korotkova T. P., Meshcheryakov E. S. Process checkpointing and restart system for Linux // Mathematical Machines and Systems. 2003. 2. Pinheiro E. Truly-Transparent Checkpointing of Parallel Applications // Federal University of Rio de Janeiro UFRJ, December 1997. 3. Almesberger W. TCP Connection Passing // Proceedings of the Linux Symposium (Ottawa, Ontario, Canada), July 2004. 4. Zhong H., Nieh J. CRAK: Linux Checkpoint/Restart As a Kernel Module // Department of Computer Science, Columbia University, Technical Report CUCS-014-01, November 2001. 5. Osman S., Subhraveti D., Su G., Nieh J. The Design and Implementation of Zap: A System for Migrating Computing Environments // Proceedings of the Fifth Symposium on Operating Systems Design and Implementation (OSDI 2002), Boston, MA, December 9–11, 2002. 6. Duell J., Hargrove P. and Roman. E. The Design and Implementation of Berkeley Lab's Linux Checkpoint/Restart // Berkeley Lab Technical Report (publication LBNL-54941), December 2002.
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 | 0.005 | 0.002 |
| Meta-epidemiology (narrow) | 0.007 | 0.007 |
| Meta-epidemiology (broad) | 0.007 | 0.004 |
| Bibliometrics | 0.003 | 0.009 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.004 | 0.007 |
| Open science | 0.014 | 0.005 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.024 |
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