Deploying agile photonic networks over reconfigurable optical networks
Bibliographic record
Abstract
The advantages and issues in deploying a fast photonic network on top of a reconfigurable WDM network are discussed. The agile photonic network is deployed as another user of the reconfigurable optical WDM network (RON), with the reconfigurable optical switches setting up the optical circuits that define the virtual topology for the agile network. The services provided by the agile network are then carried over the wavelengths that are assigned to it by the global control plane of the RON. Such deployment would allow the agile network to provide the fast optical time division multiplexing (OTDM) scheduling techniques warranted for fast-changing, low-capacity traffic flows typical of metropolitan and access networks; while sustained, high-capacity flows would remain in whole lightpaths provided at the RON level to other users. Connectivity options are described for edge and core nodes, as well as the functionality requirements of the global control plane that would manage such a deployment.
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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 | 0.001 |
| 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 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".