A novel distributed availability-aware provisioning framework for differentiated protection services in optical mesh networks
Why this work is in the frame
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Bibliographic record
Abstract
In optical WDM mesh networks, different protection schemes can be used to satisfy the service availability against network failures. However, in order to satisfy a connectionpsilas service-availability requirement in a distributed controlled WDM networks with no wavelength converters, we need a mechanism to select a proper protection scheme for each connection request while provisioning the connection. In this paper, we propose to use connection availability as a metric for providing differentiated protection services in WDM mesh networks. In the case of shared-protection, we propose a novel distributed parallel provisioning framework based on fixed alternative routing to select the connectionpsilas working and protection paths as well as the wavelength(s) at the same time by probing the k most reliable paths in parallel. The probing technique used in this framework is the first probing technique that probes each path as both a candidate working path and a candidate shared protection path at the same time. Based on the availability information collected, our provisioning strategy assigns an appropriate level of protection to each connection. The effectiveness of our provisioning approaches is demonstrated through simulation results.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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