A novel framework for dynamic survivable routing in mesh WDM networks
Bibliographic record
Abstract
The paper proposes a novel framework of shared protection, namely group shared protection (GSP), in mesh wavelength division multiplexing (WDM) networks with dynamically arriving connection requests. Based on the (M:N)/sup n/ control architecture, GSP has n mutually independent protection groups, each of which contain N link-disjoint working paths protected by M protection paths. Based on this framework, an integer linear programming (ILP) formulation is proposed; it can optimally reconfigure the spare capacity for a specific protection group whenever a working-protection path-pair joins. Two heuristics, namely link-shared protection (LSP) and ring-shared protection (RSP), are introduced for further compromising the performance and the computational complexity. The proposed schemes are compared with a reported one, namely successive survivable routing (SSR). We conclude that GSP provides a scalable and efficient solution for dynamic spare capacity reconfiguration following the (M:N)/sup n/ control architecture.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".