Design considerations for energy-efficient Multi-Granular Optical Networks
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
Multi-Granular Optical Networks (MG-ONs) offer enhanced bandwidth utilization, reduced transmission cost and increased scalability in the optical Internet backbone. There have been several proposals for optimized design of MG-ONs as power consumption in the Internet backbone has recently become an important concern. Although recent research has shown that multi-granular switching concept can guarantee energy savings when compared to the traditional traffic grooming, MG-ON design still calls for legitimate and self-contained design specifications. In this paper, we revisit the Routing and MultiGranular Path Assignment (RMGPA) problem by having the objective of minimized power consumption. Heuristic solutions of RMGPA problem show that crucial power and cost savings can be achieved with the proper selection of the wavelength capacity, waveband size and number of wavebands per fiber with a certain fiber capacity.
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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 | 0.000 |
| 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