Dynamic provisioning of fault tolerant optical networks for data centers
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
Survivability of contents/files in data centers, when a disaster occurs, is becoming a major challenge in designing cloud-based services. To handle such a situation, a robust communication protocol is needed, so that provisions can be made to allocate an alternative fault-free path, when a disaster disrupts the path used for data communication before the disaster occurs. In this work we have presented a new approach to this problem, in the case of dynamic Route and Wavelength Assignment (RWA) in Wavelength-Division Multiplexing (WDM) networks. In our approach, a communication request can be handled only if it is possible to set up i) a primary lightpath that minimizes the number of disasters that may affect the lightpath and ii) (for each disaster that disrupts the primary lightpath), a backup lightpath that avoids the disaster. We have proposed, implemented and studied an efficient heuristic to solve this problem.
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 | 0.000 |
| 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