Contention avoidance in slotted optical networks
Why this work is in the frame
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Bibliographic record
Abstract
All-Optical networks with the DWDM technology provide huge bandwidth and are the sole approach for transporting huge network traffic. However, this bandwidth is too coarse to be used by a single user and this is why the Optical Time Division Multiplexing (O-TDM) has been deployed in the optical networks to provide finer granularity and improve bandwidth usage. In contention-based slotted-optical networks, because there is no collaboration among the ingress switches, the data slots on the same wavelength and time-slot destined to the same destination may collide. In this paper, we detail contention avoidance schemes in two software and hardware categories and show that edge switches can have an important role in reducing loss rate in optical networks by transmitting traffic to each destination with equal probability (symmetric traffic transmission) and balancing traffic load on the wavelength channels. We also show that edge switches can have an important role in the loss rate reduction issue in optical networks by reducing traffic load and using more wavelengths/fibers to carry the same traffic.
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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) | 0.001 | 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 | 0.001 |
| 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