Enhanced Adaptive SLA-aware Algorithms for Provisioning Shared Mesh Optical Networks
Why this work is in the frame
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Bibliographic record
Abstract
The paper deploys an adaptive provisioning algorithm to the traffic with huge volume of high priority connection requests with long holding time by proposing a novel SLA-aware mechanism over optical shared mesh networks. The contribution presented in this paper follows three main characteristics: i) Proposing a new time-aware traffic engineering path constraint considering holding time of connections in addition to the availability, ii) Introducing a novel provisioning algorithm considering the proposed path attribute, and iii) Applying a high volume of high- priority dynamic traffic with long duration to the introduced mechanism in a new simulation environment to prove its effectiveness. The proposed mechanism benefits from dynamic service level agreement negotiation between a customer and service providers to buffer and further process the potentially blocked high priority connection requests. The simulation results show reduced blocking probability, increased availability satisfaction rate, decreased resource overbuild, and better resource utilization to preserve the high priority class of traffic compared to other SLA-aware algorithms and protection schemes in shared mesh optical 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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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