Routing and Wavelength Assignment in Optical Mesh Networks with Wavelength Conversion
Bibliographic record
Abstract
In a dynamic lightpath allocation scheme, a lightpath is established on-demand, in response to a request for communication. The optimization techniques traditionally used in determining an optimum routing and wavelength assignment (RWA) in a robust WDM network are quite complex, requiring a significant amount of time. In this paper we introduce a new integer linear program (ILP) formulation for dynamic wavelength allocation in survivable, wavelength convertible WDM networks, using dedicated and shared protection. We also propose a simple and efficient heuristic. Networks with no wavelength conversion can be viewed as a special case of the heuristic. The ILPs are suitable for small to moderate sized networks. They have also been used to validate the performance of the heuristic, by comparing its results to optimal solutions generated by the ILPs. For very large or highly congested networks, the heuristic can be used
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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 | 0.000 | 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 | 0.000 | 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".