Multi-queued network processors for packets with heterogeneous processing requirements
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
Modern network processors (NPs) increasingly deal with packets with heterogeneous processing requirements. In this work, we consider the fundamental problem of managing a bounded size buffer at the input queue of an NP. Incoming traffic consists of packets, each packet requiring several rounds of processing before it can be transmitted out of the queue. The objective is to maximize the total number of successfully transmitted packets. In such an environment, it is well known that Shortest-Remaining-Processing-Time (SRPT) first scheduling with push-out is optimal [1]. However, it is hard to implement both priority queueing (PQ) by remaining processing and the push-out mechanism simultaneously in an NP. We explore alternatives for this architecture, addressing the simplicity vs. performance system design tradeoffs. We design a simplified architecture and provide worst-case guarantees for its throughput performance in different settings. We also conduct a comprehensive simulation study that validates our results.
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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 | 0.001 |
| 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