The Exact Planning of the GMPLS-based Metro Core Network
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
Abstract The continuing rapid increase in the number of wavelengths per fiber will dramatically increase the size of OXCs/ROADMs in the WDM-based metro core networks. This calls for the use of the multi-granular switching concept introduced in Generalized Multiprotocol Label Switching (GMPLS) to avoid the cost explosion of these optical switches. This paper addresses the optimal planning problem of the GMPLS-based (or multi-granular) metro core network by (i) considering the whole traffic flow hierarchy defined in GMPLS, and (ii) maintaining the color-continuity constraint for all optical flows. We call such a planning problem the Routing and Multi-Granular Paths Assignment (RMGPA). The objective of the problem is to minimize the total weighted port count in the metro core network. The problem is formulated as a Mixed Integer Linear Programming (MILP) model. Due to the computational complexity of the problem, the MILP model is solved for small-sized problems.
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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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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