FPGA implementation of a modular and pipelined WF scheduler for high speed OC192 networks
Bibliographic record
Abstract
In this paper we propose an FPGA implementation of a multi protocol Weighted Fair (WF) queuing algorithm able to handle variable length packets targeted for Packet Over Sonet (POS) interfaces and ideal for the design of hybrid IP/ATM switches. Our contributions is an extension to an existing 4 channel scheduler architecture that combines the Highest Value First scheme and Round Robin scheme, to a modular multi channel scheduler design. The improvement we offer here compared to the previuous implementation is that we have used the existing 4 channel core module to build a higher order WF queuing system without decreasing its overall performance. As a result, our scheduler is general enough to accommodate ATM (UTOPIA Level3/4) , POS Phy Level3 (or PL3 for OC48) as well as POS Phy Level4 (or PL4 for OC192) interfaces.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".