A Hardware Architecture of a Dynamic Ranking Packet Scheduler for Programmable Network Devices
Bibliographic record
Abstract
The Dynamic Ranking Push-In-First-Out (DR-PIFO) is a novel programmable hardware queue architecture, introduced for the widely-used Portable Switch Architecture (PSA) used in modern network switches and routers. With the aid of a re-ranking mechanism, the DR-PIFO offers a flexible and expressive solution for a wide range of scheduling algorithms while still meeting line rate requirements. Our design, synthesized using TSMC’s 65nm technology, achieves the desired timing rate of 1GHz, while maintaining a throughput that matches the fastest existing schedulers while incurring a mere 15.5% increase in area compared to the state-of-the-art PIFO design. The proposed DR-PIFO’s hardware implementation is shown to closely approach the behavior and performance of its algorithmic model by efficiently executing various scheduling algorithms, leading to precise bandwidth distribution among traffic flows. Additionally, the DR-PIFO offers a significant reduction in the relative flow completion time (FCT) errors when implementing various scheduling policies with workloads collected from data centers. Thus, we believe that the DR-PIFO is a significant step toward making hardware packet schedulers more programmable.
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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 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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".