Routing and wavelength assignment for advance reservation in wavelength-routed WDM optical networks
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Bibliographic record
Abstract
Advance reservation is a useful network service that can not only provide guaranteed services for real-time applications but also allow networks to better plan their resource allocations. In this paper, we explore advance reservation in optical networks and focus on the design of effective routing and wavelength assignment (RWA) algorithms to support advance reservation service in wavelength-routed WDM networks. We first introduce the advance reservation concept and present an advance reservation model. Based on this reservation model, we study the design of effective RWA algorithms for different types of advance reservation and give some example algorithms. We also discuss related issues involved in supporting the coexistence of advance and immediate reservations. In addition, we briefly review some related work on advance reservation and the underlying RWA problem in wavelength-routed WDM networks.
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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 | 0.001 |
| 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 it